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CHAPTER 03 OF 08

The Structure of Crystalline Solids

Lattice geometry, 7 crystal systems, 14 Bravais lattices, metallic crystal structures (FCC, BCC, HCP), APF and theoretical density, Miller indices for directions and planes, linear and planar densities, and X-ray diffraction (XRD / Bragg's Law).

FCC & BCC & HCPTheoretical DensityMiller IndicesPlanar & Linear DensityXRD & Bragg's Law
BCC (n = 2) C a = 4R / √3 APF = 0.68 | CN = 8 FCC (n = 4) a = 2√2 R APF = 0.74 | CN = 12
Figure 3.1: Unit Cells & Planar Atomic Packing (FCC, BCC, HCP)
50 Problems Shown
Problem 01 Fundamental Crystallography Fundamental

Crystalline vs. Amorphous Solids: Short-Range vs. Long-Range Order

All solid matter is classified as either crystalline, polycrystalline, or amorphous based on the spatial regularity of its atomic arrangement.

  1. Differentiate between Short-Range Order (SRO) and Long-Range Translational Order (LRO).
  2. Contrast crystalline silica (quartz, $\text{SiO}_2$) with amorphous silica (fused silica glass, $\text{SiO}_2$) in terms of radial distribution function $g(r)$ and response to X-ray diffraction.
  3. Explain why crystalline solids exhibit an abrupt, sharp melting temperature ($T_m$), whereas amorphous glasses soften continuously over a glass transition range without a latent heat discontinuity.
Step-by-Step Technical Solution & Analysis
Part (a): Short-Range Order vs. Long-Range Order
  • Short-Range Order (SRO): The regular, predictable arrangement of nearest-neighbor atoms extending only over atomic distances of 0.2 to 0.5 nm (e.g., well-defined tetrahedral coordination polyhedra $\text{SiO}_4^{4-}$). SRO is present in both crystalline and amorphous solids as well as liquids.
  • Long-Range Order (LRO): The strict, repeating 3D translational periodicity of atomic lattice positions that extends infinitely over thousands or millions of unit cells across macroscopic distances ($> 100 \text{ nm}$). Present only in crystalline solids.
Part (b): Quartz vs. Fused Silica Glass
  • Radial Distribution Function $g(r)$ (pair correlation):
    • In quartz, $g(r)$ exhibits sharp, discrete peaks at exact crystallographic distances ($r_1, r_2, r_3, \dots, r_{100}$) corresponding to 1st, 2nd, 3rd, and distant coordination shells.
    • In silica glass, $g(r)$ shows sharp peaks only for the 1st and 2nd nearest neighbors ($0.16 \text{ nm}$ for $\text{Si}-\text{O}$ and $0.26 \text{ nm}$ for $\text{O}-\text{O}$), beyond which $g(r)$ rapidly smooths into a continuous, featureless value of $1.0$, indicating complete loss of positional correlation.
  • X-ray Diffraction: Quartz produces intense, razor-sharp Bragg diffraction peaks ($2\theta$) due to constructive interference from infinite parallel planes. Amorphous silica produces only a broad, diffuse scattering halo.
Part (c): Melting vs. Glass Softening

In a periodic crystal, all identical interatomic bonds share the exact same equilibrium bond length and dissociation energy. When heated to $T_m$, all bonds break simultaneously, producing a discontinuous first-order thermodynamic phase transition with a sharp melting point and latent heat of fusion $\Delta H_f$. In an amorphous glass, random variations in bond angles and lengths yield a continuous distribution of bond strengths. Weaker bonds break at lower temperatures while stronger bonds remain intact, causing the glass to soften progressively over a broad temperature range without latent heat.

Core Conclusion: Crystals possess both Short-Range and Long-Range Order, yielding sharp XRD peaks and distinct melting points ($T_m$). Glasses possess only Short-Range Order, yielding diffuse XRD halos and continuous softening above $T_g$.
Problem 02 Fundamental Crystallography Fundamental

Lattice, Basis, and Unit Cell: Conventional vs. Primitive Cells

A crystal structure is mathematically constructed by combining a mathematical space lattice with an atomic basis.

  1. State the fundamental crystallographic equation: $\text{Crystal Structure} = \text{Lattice} + \text{Basis}$. Define Bravais Lattice and Atomic Basis.
  2. Define a Unit Cell and state the six lattice parameters ($a, b, c, \alpha, \beta, \gamma$).
  3. Differentiate between a Primitive Unit Cell and a Conventional (Non-Primitive) Unit Cell. Determine the number of lattice points contained within the primitive cell and conventional unit cell of an FCC lattice.
Step-by-Step Technical Solution & Analysis
Part (a): Crystal Structure = Lattice + Basis
  • Bravais Lattice: An infinite periodic 3D mathematical array of points in space where every point has an identical environment. The position vector of any lattice point is given by: $$\mathbf{R} = u \mathbf{a}_1 + v \mathbf{a}_2 + w \mathbf{a}_3 \quad (u, v, w \in \mathbb{Z})$$
  • Atomic Basis (Motif): A group of one or more atoms (with specific chemical identities and spatial coordinates) attached identically to every single Bravais lattice point.
Part (b): Unit Cell & Six Lattice Parameters

A Unit Cell is the smallest representative repeating volume of a crystal that, when translated by integer multiples of the lattice vectors without rotation, tiles 3D space completely. It is fully defined by six independent geometric lattice parameters:

  • Three axial edge lengths: $a, b, c$
  • Three interaxial angles: $\alpha$ (between $b$ and $c$), $\beta$ (between $a$ and $c$), and $\gamma$ (between $a$ and $b$).
Part (c): Primitive vs. Conventional Cell in FCC
  • Primitive Cell: The minimum-volume unit cell that contains exactly one single lattice point ($N = 1$). For FCC, the primitive vectors connect corner points to face centers: $\mathbf{a}_1' = \frac{a}{2}(\mathbf{j} + \mathbf{k})$, $\mathbf{a}_2' = \frac{a}{2}(\mathbf{i} + \mathbf{k})$, $\mathbf{a}_3' = \frac{a}{2}(\mathbf{i} + \mathbf{j})$, forming a rhombohedral cell with volume $V_p = a^3/4$ and interaxial angles of $60^\circ$.
  • Conventional Unit Cell: A larger cell chosen to preserve the full orthogonal cubic symmetry of the lattice. For FCC, the conventional cubic cell contains 8 corners ($8 \times \frac{1}{8} = 1$) plus 6 face centers ($6 \times \frac{1}{2} = 3$), containing exactly 4 lattice points ($N = 4$) with volume $V_c = a^3$.
Summary: $\text{Crystal Structure} = \text{Lattice} + \text{Basis}$. Primitive cells contain exactly 1 lattice point; the conventional FCC cubic cell contains 4 lattice points to exhibit cubic symmetry.
Problem 03 Fundamental Crystallography Fundamental

The 7 Crystal Systems: Axial Relationships and Symmetries

All 3D crystal geometries are grouped into seven distinct Crystal Systems based on coordinate axis lengths and angles.

  1. State the relationship between edge lengths ($a, b, c$) and interaxial angles ($\alpha, \beta, \gamma$) for all seven crystal systems: Cubic, Tetragonal, Orthorhombic, Hexagonal, Rhombohedral (Trigonal), Monoclinic, and Triclinic.
  2. Identify the crystal system with the highest degree of crystallographic symmetry and the system with the lowest degree of symmetry (completely asymmetric).
  3. Identify the crystal systems adopted by: $\alpha$-Iron (ferrite), Titanium ($\alpha$-Ti at room temperature), and Tin ($\beta$-Sn, white tin).
Step-by-Step Technical Solution & Analysis
Part (a): The Seven Crystal Systems Table
Crystal SystemAxial Edge RelationshipsInteraxial Angle RelationshipsEssential Symmetry Element
1. Cubic$a = b = c$$\alpha = \beta = \gamma = 90^\circ$Four 3-fold rotation axes ($\langle 111 \rangle$)
2. Tetragonal$a = b \ne c$$\alpha = \beta = \gamma = 90^\circ$One 4-fold rotation axis ($[001]$)
3. Orthorhombic$a \ne b \ne c$$\alpha = \beta = \gamma = 90^\circ$Three mutually perpendicular 2-fold axes
4. Hexagonal$a = b \ne c$$\alpha = \beta = 90^\circ, \gamma = 120^\circ$One 6-fold rotation axis ($[0001]$)
5. Rhombohedral$a = b = c$$\alpha = \beta = \gamma \ne 90^\circ < 120^\circ$One 3-fold rotation axis
6. Monoclinic$a \ne b \ne c$$\alpha = \gamma = 90^\circ \ne \beta$One 2-fold rotation axis or mirror plane
7. Triclinic$a \ne b \ne c$$\alpha \ne \beta \ne \gamma \ne 90^\circ$Center of inversion or identity only
Part (b): Highest vs. Lowest Symmetry Systems
  • Highest Symmetry: Cubic System (48 total symmetry operations, characterized by four 3-fold axes along the cube body diagonals).
  • Lowest Symmetry: Triclinic System (0 or 1 symmetry operation, no right angles, no equal axes, completely anisotropic).
Part (c): Materials Identification
  • $\alpha$-Iron (Ferrite, BCC): Cubic ($a = 0.2866 \text{ nm}$).
  • $\alpha$-Titanium (HCP): Hexagonal ($a = 0.295 \text{ nm}, c = 0.468 \text{ nm}$).
  • $\beta$-Tin (White tin): Tetragonal ($a = b = 0.583 \text{ nm}, c = 0.318 \text{ nm}$).
Summary: The 7 systems range from highest symmetry (Cubic: $a=b=c, \alpha=\beta=\gamma=90^\circ$) to lowest symmetry (Triclinic: all axes and angles unequal).
Problem 04 Fundamental Crystallography Intermediate

The 14 Bravais Lattices: Why Only 14 Exist in 3D Space

Auguste Bravais proved mathematically in 1848 that there are exactly 14 unique point lattices in three-dimensional space.

  1. Name the four centering types: Primitive (P), Body-Centered (I), Face-Centered (F), and Base-Centered (C). How many total combinations of 7 crystal systems $\times$ 4 centering types exist theoretically?
  2. Why are there only 14 Bravais lattices rather than 28? Explain the geometric equivalence principle.
  3. Prove geometrically that a hypothetical Face-Centered Tetragonal (FCT) lattice is mathematically redundant by showing that it is equivalent to a smaller Body-Centered Tetragonal (BCT) lattice.
Step-by-Step Technical Solution & Analysis
Part (a): Centering Types & Theoretical Combinations

The four centering modes are:

  • Primitive (P): Lattice points at cell corners only ($N = 1$).
  • Body-Centered (I): Corner points plus one point at the body center ($N = 2$).
  • Face-Centered (F): Corner points plus one point at each of the six face centers ($N = 4$).
  • Base/Side-Centered (C): Corner points plus points at the centers of two opposing parallel faces ($N = 2$).

Theoretically, $7 \text{ crystal systems} \times 4 \text{ centering types} = \mathbf{28 \text{ combinations}}$.

Part (b): Why Only 14 Unique Lattices?

Of the 28 theoretical combinations, 14 are mathematically redundant because:

  1. Some combinations violate the required point-group rotational symmetry of the crystal system (e.g., base-centering a cubic system destroys the four 3-fold diagonal axes, degrading it to tetragonal).
  2. Other combinations can be shown via a simple coordinate rotation and reduction to be identical to a smaller unit cell already included among the 14 (e.g., FCT $\equiv$ BCT, Base-centered tetragonal $\equiv$ Primitive tetragonal).
Part (c): Proof of Equivalence: FCT $\equiv$ BCT

Consider an FCT cell with base dimensions $a_{\text{FCT}} \times a_{\text{FCT}}$ and vertical height $c_{\text{FCT}}$, containing face-centered points on the top, bottom, and side faces:

  • Connect the face-centering points of the four vertical side faces. These four points form a square lying at height $z = c/2$.
  • The side of this new square has length: $$a_{\text{BCT}} = \frac{a_{\text{FCT}}}{\sqrt{2}}$$ rotated by $45^\circ$ relative to the FCT axes.
  • The corner points of the new cell are the base face-centering points at $z = 0$ and $z = c$, and the central point is the original corner point at $(a/2, a/2, c/2)$.
  • This new cell has dimensions $a_{\text{BCT}} \times a_{\text{BCT}} \times c_{\text{FCT}}$ with one point at the center: exactly a Body-Centered Tetragonal (BCT) lattice with volume $V_{\text{BCT}} = V_{\text{FCT}} / 2$.

By international convention, the cell with the smaller base ($a_{\text{BCT}}$) is selected. Hence, FCT is redundant.

Conclusion: Redundant combinations can be transformed into smaller standard cells. A Face-Centered Tetragonal lattice is geometrically identical to a Body-Centered Tetragonal lattice with base $a_{\text{BCT}} = a_{\text{FCT}} / \sqrt{2}$ rotated by $45^\circ$.
Problem 05 Metallic Crystal Structures Fundamental

Simple Cubic (SC) Crystal Structure: Geometry and APF Derivation

The Simple Cubic (SC) crystal structure represents the simplest 3D packing geometry, exhibited among pure elements only by alpha-Polonium ($\alpha\text{-Po}$).

  1. State the number of atoms per unit cell ($n$) and the coordination number ($\text{CN}$) for Simple Cubic.
  2. Identify the close-packed direction. Express the lattice parameter $a$ in terms of the atomic radius $R$.
  3. Derive from first principles the Atomic Packing Factor (APF) of the Simple Cubic lattice, showing that: $$\text{APF}_{\text{SC}} = \frac{\pi}{6} \approx 0.524$$ Why is this structure extremely rare among metals?
Step-by-Step Technical Solution & Analysis
Part (a): Atoms per Cell and Coordination Number
  • Number of Atoms per Cell ($n$): Atoms sit only at the 8 cube corners, each shared by 8 adjacent cubes: $$n = 8 \times \frac{1}{8} = \mathbf{1 \text{ atom/unit cell}}$$
  • Coordination Number ($\text{CN}$): Each corner atom touches 6 nearest neighbors (along $\pm x, \pm y, \pm z$): $$\text{CN} = \mathbf{6}$$
Part (b): Close-Packed Direction and Lattice Parameter $a$

Atoms touch along the cube edges ($\langle 100 \rangle$ directions):

$$a = 2 R$$

Unit cell volume:

$$V_c = a^3 = (2 R)^3 = 8 R^3$$
Part (c): APF Derivation and Rarity in Metals

The Atomic Packing Factor is the fraction of unit cell volume occupied by hard-sphere atoms:

$$\text{APF} = \frac{V_{\text{atoms}}}{V_{\text{cell}}} = \frac{n \left( \frac{4}{3} \pi R^3 \right)}{V_c}$$

Substitute $n = 1$ and $V_c = 8 R^3$:

$$\text{APF}_{\text{SC}} = \frac{1 \times \left( \frac{4}{3} \pi R^3 \right)}{8 R^3} = \frac{4 \pi}{24} = \frac{\pi}{6} \approx \mathbf{0.5236 \approx 52.4\%}$$

Why SC is extremely rare in metals: Metallic bonding is non-directional and seeks to maximize atomic packing density and nearest-neighbor coordination. In SC, nearly 48% of the volume is empty void space, and the coordination number is only 6. Metallic elements achieve much lower thermodynamic free energy by packing into BCC ($\text{CN}=8, \text{APF}=0.68$) or close-packed FCC/HCP ($\text{CN}=12, \text{APF}=0.74$). Only Polonium adopts SC due to directional covalent $p$-orbital bonding.

Simple Cubic Summary:
$n = \mathbf{1 \text{ atom/cell}}$ • $\text{CN} = \mathbf{6}$ • $a = \mathbf{2R}$
$$\text{APF}_{\text{SC}} = \frac{\pi}{6} = \mathbf{0.524} \text{ (47.6% void space)}$$
Problem 06 Metallic Crystal Structures Fundamental

Body-Centered Cubic (BCC) Crystal Structure: Geometry and APF Derivation

Many technologically vital structural metals (including $\alpha$-Iron, Chromium, Molybdenum, Tantalum, and Tungsten) crystallize in the Body-Centered Cubic (BCC) structure.

  1. State the number of atoms per unit cell ($n$) and the coordination number ($\text{CN}$) for BCC.
  2. Identify the close-packed direction. Using the 3D cube body diagonal, derive the exact relationship between the lattice parameter $a$ and the atomic radius $R$.
  3. Derive from first principles the Atomic Packing Factor (APF) of the BCC lattice, showing that: $$\text{APF}_{\text{BCC}} = \frac{\sqrt{3} \pi}{8} \approx 0.680$$
Step-by-Step Technical Solution & Analysis
Part (a): Atoms per Cell and Coordination Number
  • Number of Atoms per Cell ($n$): 8 corner atoms (each shared by 8 cells) plus 1 whole atom at the center: $$n = 8 \times \frac{1}{8} + 1 = 1 + 1 = \mathbf{2 \text{ atoms/unit cell}}$$
  • Coordination Number ($\text{CN}$): The central atom touches all 8 corner atoms along the four body diagonals: $$\text{CN} = \mathbf{8}$$
Part (b): Body Diagonal and Lattice Parameter $a(R)$

In BCC, atoms touch along the body diagonals ($\langle 111 \rangle$ directions):

  • Face diagonal length of cube: $d_{\text{face}} = \sqrt{a^2 + a^2} = a\sqrt{2}$.
  • Body diagonal length: $d_{\text{body}} = \sqrt{d_{\text{face}}^2 + a^2} = \sqrt{2a^2 + a^2} = a\sqrt{3}$.
  • Along the body diagonal, the central atom (diameter $2R$) is sandwiched between two corner atoms (each contributing radius $R$): $$d_{\text{body}} = R + 2R + R = 4 R$$

Equating the expressions:

$$a \sqrt{3} = 4 R \implies a = \frac{4 R}{\sqrt{3}}$$

Unit cell volume:

$$V_c = a^3 = \left( \frac{4 R}{\sqrt{3}} \right)^3 = \frac{64 R^3}{3 \sqrt{3}}$$
Part (c): Derivation of Atomic Packing Factor (APF)
$$\text{APF} = \frac{n \cdot V_{\text{atom}}}{V_c} = \frac{2 \times \left( \frac{4}{3} \pi R^3 \right)}{\frac{64 R^3}{3 \sqrt{3}}}$$ $$\text{APF}_{\text{BCC}} = \frac{\frac{8}{3} \pi R^3}{\frac{64}{3 \sqrt{3}} R^3} = \frac{8 \pi}{3} \times \frac{3 \sqrt{3}}{64} = \frac{8 \sqrt{3} \pi}{64} = \frac{\sqrt{3} \pi}{8}$$ $$\text{APF}_{\text{BCC}} = \frac{1.73205 \times 3.14159}{8} = \frac{5.4414}{8} \approx \mathbf{0.6802 \approx 68.0\%}$$
BCC Structure Summary:
$n = \mathbf{2 \text{ atoms/cell}}$ • $\text{CN} = \mathbf{8}$ • Close-packed along $\langle 111 \rangle$
$$a = \frac{4 R}{\sqrt{3}} \approx 2.3094 R$$ $$\text{APF}_{\text{BCC}} = \frac{\sqrt{3}\pi}{8} = \mathbf{0.680} \text{ (32.0% void space)}$$
Problem 07 Metallic Crystal Structures Fundamental

Face-Centered Cubic (FCC) Crystal Structure: Geometry and APF Derivation

The Face-Centered Cubic (FCC) structure represents one of the two closest packings of spheres, exhibited by Aluminum, Copper, Gold, Silver, Nickel, and Austenitic Iron ($\gamma$-Fe).

  1. State the number of atoms per unit cell ($n$) and the coordination number ($\text{CN}$) for FCC.
  2. Identify the close-packed direction. Using the 2D cube face diagonal, derive the exact relationship between the lattice parameter $a$ and the atomic radius $R$.
  3. Derive from first principles the Atomic Packing Factor (APF) of the FCC lattice, showing that: $$\text{APF}_{\text{FCC}} = \frac{\pi}{3\sqrt{2}} \approx 0.740$$ Why is 0.740 the theoretical mathematical maximum packing limit for identical spheres in 3D space?
Step-by-Step Technical Solution & Analysis
Part (a): Atoms per Cell and Coordination Number
  • Number of Atoms per Cell ($n$): 8 corner atoms (each shared by 8 cells) plus 6 face-centered atoms (each shared by 2 cells): $$n = 8 \times \frac{1}{8} + 6 \times \frac{1}{2} = 1 + 3 = \mathbf{4 \text{ atoms/unit cell}}$$
  • Coordination Number ($\text{CN}$): Each face-centered atom touches 4 corner atoms on its face, 4 face-centered atoms in the plane ahead, and 4 in the plane behind: $$\text{CN} = \mathbf{12}$$
Part (b): Face Diagonal and Lattice Parameter $a(R)$

Atoms touch along the face diagonals ($\langle 110 \rangle$ directions):

  • Face diagonal length: $d_{\text{face}} = \sqrt{a^2 + a^2} = a\sqrt{2}$.
  • Along the face diagonal, the face-center atom is in contact with two corner atoms: $$d_{\text{face}} = R + 2R + R = 4 R$$

Equating the expressions:

$$a \sqrt{2} = 4 R \implies a = \frac{4 R}{\sqrt{2}} = 2\sqrt{2} R \approx 2.8284 R$$

Unit cell volume:

$$V_c = a^3 = (2\sqrt{2} R)^3 = 16\sqrt{2} R^3$$
Part (c): Derivation of Atomic Packing Factor (APF)
$$\text{APF} = \frac{n \cdot V_{\text{atom}}}{V_c} = \frac{4 \times \left( \frac{4}{3} \pi R^3 \right)}{16\sqrt{2} R^3}$$ $$\text{APF}_{\text{FCC}} = \frac{\frac{16}{3} \pi R^3}{16\sqrt{2} R^3} = \frac{\pi}{3\sqrt{2}} = \frac{\sqrt{2}\pi}{6}$$ $$\text{APF}_{\text{FCC}} = \frac{1.41421 \times 3.14159}{6} = \frac{4.4429}{6} \approx \mathbf{0.7405 \approx 74.0\%}$$

Kepler Conjecture & Maximum Limit: In 1611, Johannes Kepler conjectured that no packing of equal spheres in 3D space can have an average density exceeding $\pi / (3\sqrt{2}) \approx 0.74048$. Proved rigorously by Thomas Hales in 1998, FCC and HCP represent the densest possible packings of identical spheres.

FCC Structure Summary:
$n = \mathbf{4 \text{ atoms/cell}}$ • $\text{CN} = \mathbf{12}$ • Close-packed along $\langle 110 \rangle$
$$a = 2\sqrt{2} R \approx 2.8284 R$$ $$\text{APF}_{\text{FCC}} = \frac{\pi}{3\sqrt{2}} = \mathbf{0.740} \text{ (26.0% void space, maximum possible in 3D)}$$
Problem 08 Metallic Crystal Structures Advanced

Hexagonal Close-Packed (HCP) Crystal Structure: c/a Ratio and APF Derivation

The Hexagonal Close-Packed (HCP) structure is adopted by Magnesium, Zinc, Cadmium, Titanium, and Zirconium.

  1. State the number of atoms per conventional hexagonal unit cell ($n$) and the coordination number ($\text{CN}$) for ideal HCP.
  2. Derive the formula for the volume of a hexagonal unit cell $V_c$ in terms of base parameter $a$ and height $c$, showing that: $$V_c = \frac{3\sqrt{3}}{2} a^2 c$$
  3. Prove geometrically from hard-sphere packing that the ideal axial ratio is: $$\left(\frac{c}{a}\right)_{\text{ideal}} = \sqrt{\frac{8}{3}} \approx 1.633$$ and prove that the resulting APF is identically $0.740$.
Step-by-Step Technical Solution & Analysis
Part (a): Atoms per Cell and Coordination Number
  • Number of Atoms per Cell ($n$):
    • 12 top/bottom base corners, each shared by 6 cells: $12 \times \frac{1}{6} = 2$ atoms.
    • 2 top/bottom face centers, each shared by 2 cells: $2 \times \frac{1}{2} = 1$ atom.
    • 3 interior mid-plane atoms completely inside the cell: $3 \times 1 = 3$ atoms.
    • Total: $n = 2 + 1 + 3 = \mathbf{6 \text{ atoms/hexagonal unit cell}}$.
  • Coordination Number ($\text{CN}$): Each atom touches 6 in its own basal plane, 3 in the plane above, and 3 in the plane below: $$\text{CN} = \mathbf{12}$$
Part (b): Hexagonal Unit Cell Volume $V_c$

The base is a regular hexagon of side length $a$, composed of six equilateral triangles of side $a$:

$$\text{Area of one triangle} = \frac{1}{2} a \left( a \frac{\sqrt{3}}{2} \right) = \frac{\sqrt{3}}{4} a^2$$ $$\text{Base Area} = 6 \times \left( \frac{\sqrt{3}}{4} a^2 \right) = \frac{3\sqrt{3}}{2} a^2$$

Multiplying by cell height $c$:

$$V_c = \text{Base Area} \times c = \mathbf{\frac{3\sqrt{3}}{2} a^2 c}$$
Part (c): Derivation of Ideal $(c/a)$ Ratio and APF

Consider the regular tetrahedron formed by three mid-plane atoms (triangle of side $a$) and one basal atom directly above them:

  • All four atoms touch, so all edge lengths equal $a = 2R$.
  • The distance from a corner to the centroid of the base equilateral triangle is: $r_{\text{cent}} = \frac{a}{\sqrt{3}}$.
  • The vertical height of the tetrahedron is half the unit cell height ($h = c/2$). By the Pythagorean theorem: $$h^2 + r_{\text{cent}}^2 = a^2 \implies \left( \frac{c}{2} \right)^2 + \left( \frac{a}{\sqrt{3}} \right)^2 = a^2$$ $$\frac{c^2}{4} + \frac{a^2}{3} = a^2 \implies \frac{c^2}{4} = \frac{2}{3} a^2 \implies \frac{c^2}{a^2} = \frac{8}{3}$$ $$\left( \frac{c}{a} \right)_{\text{ideal}} = \sqrt{\frac{8}{3}} = \frac{2\sqrt{2}}{\sqrt{3}} \approx \mathbf{1.63299 \approx 1.633}$$

Substitute $c = a\sqrt{8/3}$ and $a = 2R$ into $V_c$:

$$V_c = \frac{3\sqrt{3}}{2} (2R)^2 \left( 2R \sqrt{\frac{8}{3}} \right) = \frac{3\sqrt{3}}{2} (4R^2) \left( 2R \frac{2\sqrt{2}}{\sqrt{3}} \right) = 24\sqrt{2} R^3$$

Now calculate APF with $n = 6$ atoms:

$$\text{APF}_{\text{HCP}} = \frac{6 \left( \frac{4}{3} \pi R^3 \right)}{24\sqrt{2} R^3} = \frac{8 \pi R^3}{24\sqrt{2} R^3} = \frac{\pi}{3\sqrt{2}} \approx \mathbf{0.7405 \approx 74.0\%}$$
HCP Geometry Summary:
$n = \mathbf{6 \text{ atoms/cell}}$ • $\text{CN} = \mathbf{12}$ • $V_c = \frac{3\sqrt{3}}{2} a^2 c$
$$\left(\frac{c}{a}\right)_{\text{ideal}} = \sqrt{\frac{8}{3}} \approx \mathbf{1.633}$$ $$\text{APF}_{\text{HCP}} = \frac{\pi}{3\sqrt{2}} = \mathbf{0.740} \text{ (Identical to FCC)}$$
Problem 09 Crystal Density Fundamental

Theoretical Crystal Density Formula: Derivation and Unit Consistency

The macroscopic theoretical density of any crystalline material can be calculated directly from its crystal lattice parameters and atomic weight.

  1. Derive from first principles the theoretical density equation: $$\rho = \frac{n \cdot A}{V_c \cdot N_A}$$ stating the physical meaning and standard SI/CGS units of every variable.
  2. Explain why the theoretical density calculated from crystallography represents an upper physical bound, and identify the microscopic defects that cause measured bulk densities of real engineering metals to be slightly lower.
  3. Formulate the specific expressions for unit cell volume $V_c$ for cubic, tetragonal, and hexagonal crystal systems.
Step-by-Step Technical Solution & Analysis
Part (a): Density Equation Derivation

Density is defined as mass divided by volume: $\rho = \frac{m_{\text{cell}}}{V_c}$.

  • $n$: Number of atoms associated with each unit cell (dimensionless; 1 for SC, 2 for BCC, 4 for FCC, 6 for HCP).
  • $A$: Atomic weight (molar mass) of the element ($\text{g/mol}$).
  • The mass of a single atom is $m_{\text{atom}} = \frac{A}{N_A}$ (where $N_A = 6.022 \times 10^{23} \text{ atoms/mol}$ is Avogadro's number).
  • The total mass contained in one unit cell is: $m_{\text{cell}} = n \cdot m_{\text{atom}} = \frac{n A}{N_A}$.
  • Dividing by unit cell volume $V_c$: $$\rho = \frac{n \cdot A}{V_c \cdot N_A}$$

Units: If $A$ is in $\text{g/mol}$ and $V_c$ is in $\text{cm}^3$, $\rho$ evaluates directly in $\mathbf{\text{g/cm}^3}$. To convert to SI ($\text{kg/m}^3$), multiply by $10^3$.

Part (b): Theoretical Density as Upper Bound

The crystallographic density assumes a mathematically perfect, defect-free single crystal. In real engineering materials, bulk density is slightly lower (typically 0.1% to 2% lower) due to:

  1. Thermal Equilibrium Vacancies: Missing atoms at lattice sites ($N_v/N \sim 10^{-4}$ near melting).
  2. Dislocations: Dilatational strain fields around dislocation cores lower average local density.
  3. Grain Boundaries: In polycrystalline metals, grain boundaries are regions of atomic mismatch with excess free volume.
  4. Processing Porosity: Microscopic gas pores, shrinkage voids, and microcracks from casting or additive manufacturing.
Part (c): Volume Expressions for Crystal Systems
  • Cubic: $V_c = a^3$
  • Tetragonal: $V_c = a^2 c$
  • Hexagonal: $V_c = \frac{3\sqrt{3}}{2} a^2 c \approx 2.5981 a^2 c$
Theoretical Density: $$\rho = \frac{n \cdot A}{V_c \cdot N_A}$$ Calculated crystallographic density is an upper bound; real bulk materials have lower density due to vacancies, grain boundaries, and processing voids.
Problem 10 Crystal Density Fundamental

Theoretical Density Calculation: FCC Copper

Copper (Cu) has an FCC crystal structure with an atomic radius of $R = 0.1278 \text{ nm}$ ($1.278 \times 10^{-8} \text{ cm}$) and an atomic weight of $A_{\text{Cu}} = 63.55 \text{ g/mol}$.

  1. Calculate the lattice parameter $a$ of the FCC unit cell in centimeters.
  2. Calculate the unit cell volume $V_c$ in $\text{cm}^3$.
  3. Calculate the theoretical density $\rho$ of copper in $\text{g/cm}^3$ and $\text{kg/m}^3$. Compare with the handbook density ($\rho_{\text{exp}} = 8.94 \text{ g/cm}^3$) and calculate percentage accuracy.
Step-by-Step Technical Solution & Analysis
Part (a): Lattice Parameter $a$ for FCC
$$a = 2\sqrt{2} R = 2\sqrt{2} (1.278 \times 10^{-8} \text{ cm}) = 2.8284 \times (1.278 \times 10^{-8} \text{ cm}) = \mathbf{3.6147 \times 10^{-8} \text{ cm} = 0.3615 \text{ nm}}$$
Part (b): Unit Cell Volume $V_c$
$$V_c = a^3 = (3.6147 \times 10^{-8} \text{ cm})^3 = \mathbf{4.7229 \times 10^{-23} \text{ cm}^3}$$
Part (c): Theoretical Density Calculation

For FCC, $n = 4$ atoms/cell:

$$\rho = \frac{n \cdot A_{\text{Cu}}}{V_c \cdot N_A} = \frac{4 \times 63.55 \text{ g/mol}}{(4.7229 \times 10^{-23} \text{ cm}^3) \times (6.022 \times 10^{23} \text{ atoms/mol})}$$ $$\rho = \frac{254.20 \text{ g}}{28.4413 \text{ cm}^3} = \mathbf{8.9377 \text{ g/cm}^3 \approx 8.94 \text{ g/cm}^3}$$

In SI units:

$$\rho = 8.938 \times 10^3 \text{ kg/m}^3 = \mathbf{8,938 \text{ kg/m}^3}$$

Accuracy Comparison: Measured handbook density is $8.94 \text{ g/cm}^3$. Accuracy is within $\mathbf{0.02\%}$.

Final Results:
$a = \mathbf{0.3615 \text{ nm} = 3.615 \times 10^{-8} \text{ cm}}$
$V_c = \mathbf{4.723 \times 10^{-23} \text{ cm}^3}$
$\rho_{\text{theor}} = \mathbf{8.94 \text{ g/cm}^3 = 8,938 \text{ kg/m}^3}$ (Virtually 100% agreement with experiment).
Problem 11 Crystal Density Fundamental

Theoretical Density Calculation: BCC alpha-Iron

Alpha-iron ($\alpha$-Fe) has a BCC crystal structure at room temperature, with an atomic radius of $R = 0.1241 \text{ nm}$ ($1.241 \times 10^{-8} \text{ cm}$) and an atomic weight of $A_{\text{Fe}} = 55.85 \text{ g/mol}$.

  1. Calculate the lattice parameter $a$ of the BCC unit cell in centimeters.
  2. Calculate the unit cell volume $V_c$ in $\text{cm}^3$.
  3. Calculate the theoretical density $\rho$ of $\alpha$-Fe in $\text{g/cm}^3$ and compare with the experimental value ($\rho_{\text{exp}} = 7.87 \text{ g/cm}^3$).
Step-by-Step Technical Solution & Analysis
Part (a): Lattice Parameter $a$ for BCC
$$a = \frac{4 R}{\sqrt{3}} = \frac{4 (1.241 \times 10^{-8} \text{ cm})}{\sqrt{3}} = \frac{4.964 \times 10^{-8} \text{ cm}}{1.73205} = \mathbf{2.8660 \times 10^{-8} \text{ cm} = 0.2866 \text{ nm}}$$
Part (b): Unit Cell Volume $V_c$
$$V_c = a^3 = (2.8660 \times 10^{-8} \text{ cm})^3 = \mathbf{2.3541 \times 10^{-23} \text{ cm}^3}$$
Part (c): Theoretical Density Calculation

For BCC, $n = 2$ atoms/cell:

$$\rho = \frac{n \cdot A_{\text{Fe}}}{V_c \cdot N_A} = \frac{2 \times 55.85 \text{ g/mol}}{(2.3541 \times 10^{-23} \text{ cm}^3) \times (6.022 \times 10^{23} \text{ atoms/mol})}$$ $$\rho = \frac{111.70 \text{ g}}{14.1764 \text{ cm}^3} = \mathbf{7.8793 \text{ g/cm}^3 \approx 7.88 \text{ g/cm}^3}$$

In SI units: $\rho = \mathbf{7,879 \text{ kg/m}^3}$. Matches handbook value ($7.87 \text{ g/cm}^3$) within $0.1\%$.

Final Results:
$a = \mathbf{0.2866 \text{ nm} = 2.866 \times 10^{-8} \text{ cm}}$
$V_c = \mathbf{2.354 \times 10^{-23} \text{ cm}^3}$
$\rho_{\text{theor}} = \mathbf{7.88 \text{ g/cm}^3 = 7,879 \text{ kg/m}^3}$
Problem 12 Crystal Density Intermediate

Theoretical Density Calculation: HCP Titanium

Titanium ($\alpha$-Ti) has an HCP crystal structure at room temperature with lattice parameters $a = 0.2951 \text{ nm}$ and $c = 0.4686 \text{ nm}$, and an atomic weight of $A_{\text{Ti}} = 47.87 \text{ g/mol}$.

  1. Calculate the experimental axial ratio $c/a$ and compare it with the ideal ratio ($1.633$). Is the HCP unit cell of titanium elongated or compressed along the $c$-axis?
  2. Calculate the volume of the hexagonal unit cell $V_c$ in $\text{cm}^3$.
  3. Calculate the theoretical density $\rho$ of titanium in $\text{g/cm}^3$ and compare with the measured value ($\rho_{\text{exp}} = 4.51 \text{ g/cm}^3$).
Step-by-Step Technical Solution & Analysis
Part (a): Axial Ratio $c/a$ Analysis
$$\frac{c}{a} = \frac{0.4686 \text{ nm}}{0.2951 \text{ nm}} = \mathbf{1.5879 \approx 1.588}$$

Comparing with the ideal hard-sphere ratio $(c/a)_{\text{ideal}} = \sqrt{8/3} \approx 1.633$:

$$\frac{1.588}{1.633} = 0.972 \implies \mathbf{2.8\% \text{ compression}}$$

The unit cell of titanium is slightly compressed along the $c$-axis, indicating anisotropic electronic bonding along the basal planes.

Part (b): Hexagonal Unit Cell Volume $V_c$

Convert dimensions to centimeters: $a = 2.951 \times 10^{-8} \text{ cm}$, $c = 4.686 \times 10^{-8} \text{ cm}$:

$$V_c = \frac{3\sqrt{3}}{2} a^2 c = 2.598076 \times (2.951 \times 10^{-8} \text{ cm})^2 \times (4.686 \times 10^{-8} \text{ cm})$$ $$a^2 = 8.7084 \times 10^{-16} \text{ cm}^2$$ $$V_c = 2.598076 \times (8.7084 \times 10^{-16}) \times (4.686 \times 10^{-8}) = \mathbf{1.0602 \times 10^{-22} \text{ cm}^3}$$
Part (c): Theoretical Density Calculation

For a complete hexagonal unit cell, $n = 6$ atoms/cell:

$$\rho = \frac{n \cdot A_{\text{Ti}}}{V_c \cdot N_A} = \frac{6 \times 47.87 \text{ g/mol}}{(1.0602 \times 10^{-22} \text{ cm}^3) \times (6.022 \times 10^{23} \text{ atoms/mol})}$$ $$\rho = \frac{287.22 \text{ g}}{63.8452 \text{ cm}^3} = \mathbf{4.4987 \text{ g/cm}^3 \approx 4.50 \text{ g/cm}^3}$$

In SI units: $\rho = \mathbf{4,500 \text{ kg/m}^3}$. Matches handbook value ($4.51 \text{ g/cm}^3$) within $0.2\%$.

Final Results:
$c/a = \mathbf{1.588}$ (Compressed vs. ideal 1.633)
$V_c = \mathbf{1.060 \times 10^{-22} \text{ cm}^3}$
$\rho_{\text{theor}} = \mathbf{4.50 \text{ g/cm}^3 = 4,500 \text{ kg/m}^3}$
Problem 13 Crystal Density Intermediate

Reverse Density Problem: Determining Atomic Radius of Molybdenum

Molybdenum (Mo) has a BCC crystal structure, a measured density of $\rho = 10.22 \text{ g/cm}^3$, and an atomic weight of $A_{\text{Mo}} = 95.94 \text{ g/mol}$.

  1. Using the theoretical density equation with $n = 2$, calculate the unit cell volume $V_c$ in $\text{cm}^3$.
  2. Calculate the lattice parameter $a$ in nanometers.
  3. Calculate the atomic radius $R$ of a molybdenum atom in nanometers.
Step-by-Step Technical Solution & Analysis
Part (a): Calculation of Unit Cell Volume $V_c$
$$\rho = \frac{n \cdot A}{V_c \cdot N_A} \implies V_c = \frac{n \cdot A}{\rho \cdot N_A}$$ $$V_c = \frac{2 \times 95.94 \text{ g/mol}}{(10.22 \text{ g/cm}^3) \times (6.022 \times 10^{23} \text{ atoms/mol})} = \frac{191.88}{6.1545 \times 10^{24}} = \mathbf{3.1177 \times 10^{-23} \text{ cm}^3}$$
Part (b): Lattice Parameter $a$
$$a = V_c^{1/3} = (3.1177 \times 10^{-23} \text{ cm}^3)^{1/3} = 3.1473 \times 10^{-8} \text{ cm} = \mathbf{0.3147 \text{ nm}}$$
Part (c): Atomic Radius $R$ for BCC

For BCC, $a = \frac{4 R}{\sqrt{3}} \implies R = \frac{a \sqrt{3}}{4}$:

$$R = \frac{(0.31473 \text{ nm}) \sqrt{3}}{4} = \frac{(0.31473 \text{ nm}) \times 1.73205}{4} = \frac{0.54513}{4} = \mathbf{0.1363 \text{ nm}}$$
Final Results:
$V_c = \mathbf{3.118 \times 10^{-23} \text{ cm}^3}$
Lattice Parameter: $a = \mathbf{0.3147 \text{ nm}}$
Atomic Radius: $R = \mathbf{0.1363 \text{ nm} = 1.363 \text{ \AA}}$
Problem 14 Crystal Density Fundamental

Crystal Structure Determination from Density and Lattice Parameter

An unknown metallic element has a cubic crystal structure with a lattice parameter of $a = 0.3615 \text{ nm}$ ($3.615 \times 10^{-8} \text{ cm}$), an atomic weight of $A = 63.55 \text{ g/mol}$, and an experimentally measured density of $\rho = 8.94 \text{ g/cm}^3$.

  1. Calculate the number of atoms per unit cell ($n$) using the density equation.
  2. Identify whether the unknown cubic crystal structure is Simple Cubic ($n = 1$), Body-Centered Cubic ($n = 2$), or Face-Centered Cubic ($n = 4$).
  3. Identify the metallic element and calculate its atomic radius $R$.
Step-by-Step Technical Solution & Analysis
Part (a): Solving for Atoms per Unit Cell $n$

Unit cell volume:

$$V_c = a^3 = (3.615 \times 10^{-8} \text{ cm})^3 = 4.724 \times 10^{-23} \text{ cm}^3$$

From the density equation:

$$n = \frac{\rho \cdot V_c \cdot N_A}{A}$$ $$n = \frac{(8.94 \text{ g/cm}^3) \times (4.724 \times 10^{-23} \text{ cm}^3) \times (6.022 \times 10^{23} \text{ atoms/mol})}{63.55 \text{ g/mol}}$$ $$n = \frac{254.33}{63.55} = \mathbf{4.002 \approx 4}$$
Part (b): Crystal Structure Identification

Because $n = 4$, the metal crystallizes in the Face-Centered Cubic (FCC) structure.

Part (c): Element & Atomic Radius

Atomic weight $A = 63.55 \text{ g/mol}$ identifies the metal as Copper (Cu).

For FCC, $a = 2\sqrt{2} R \implies R = \frac{a}{2\sqrt{2}}$:

$$R = \frac{0.3615 \text{ nm}}{2\sqrt{2}} = \frac{0.3615}{2.8284} = \mathbf{0.1278 \text{ nm} = 1.278 \text{ \AA}}$$
Final Identification:
$n = \mathbf{4 \text{ atoms/cell}} \implies$ Face-Centered Cubic (FCC)
Metal Identity: Copper (Cu) • Atomic Radius: $R = \mathbf{0.128 \text{ nm}}$
Problem 15 Planar & Linear Density Intermediate

Linear Atomic Density (LD) Derivation in FCC Crystals

Linear atomic density ($LD$) quantifies the packing fraction along specific crystallographic directions, controlling slip behavior in plastic deformation.

  1. State the definition of Linear Density ($LD$) in atoms per unit length: $$LD = \frac{\text{Number of atomic diameters centered along vector}}{\text{Length of vector}}$$
  2. For an FCC unit cell with lattice parameter $a$ and atomic radius $R = a / (2\sqrt{2})$, derive the linear density expressions along:
    • The $[110]$ direction (close-packed)
    • The $[100]$ direction
    • The $[111]$ direction
  3. Calculate numerical values of $LD$ (in $\text{nm}^{-1}$) along $[110]$, $[100]$, and $[111]$ for FCC Aluminum ($a = 0.4049 \text{ nm}$). Prove that $[110]$ has the maximum linear density.
Step-by-Step Technical Solution & Analysis
Part (a): Linear Density Definition
$$LD = \frac{\text{Equivalent number of atoms intersected}}{\text{Line vector length } L}$$
Part (b): Algebraic Derivations for FCC
  • Direction $[110]$ (Face Diagonal):
    • Vector length: $L = a\sqrt{2} = 4R$.
    • Line intersects: $1/2$ corner atom + 1 face-center atom + $1/2$ corner atom = 2 atoms.
    • $$LD_{[110]} = \frac{2}{a\sqrt{2}} = \frac{\sqrt{2}}{a} = \frac{2}{4R} = \mathbf{\frac{1}{2R}}$$ (Close-packed, atoms in continuous contact: $LD = 100\%$ linear packing).
  • Direction $[100]$ (Cube Edge):
    • Vector length: $L = a$.
    • Line intersects: $1/2$ corner atom + $1/2$ corner atom = 1 atom.
    • $$LD_{[100]} = \frac{1}{a} = \frac{1}{2\sqrt{2}R} \approx \frac{0.354}{R}$$
  • Direction $[111]$ (Body Diagonal):
    • Vector length: $L = a\sqrt{3}$.
    • Line intersects: $1/2$ corner atom at $(0,0,0)$ and $1/2$ corner atom at $(1,1,1)$ = 1 atom (no atom at the center in FCC!).
    • $$LD_{[111]} = \frac{1}{a\sqrt{3}} \approx \frac{0.204}{R}$$
Part (c): Numerical Calculations for Aluminum ($a = 0.4049 \text{ nm}$)
  • $$LD_{[110]} = \frac{\sqrt{2}}{a} = \frac{1.4142}{0.4049 \text{ nm}} = \mathbf{3.493 \text{ atoms/nm}}$$
  • $$LD_{[100]} = \frac{1}{a} = \frac{1}{0.4049 \text{ nm}} = \mathbf{2.470 \text{ atoms/nm}}$$
  • $$LD_{[111]} = \frac{1}{a\sqrt{3}} = \frac{1}{(0.4049) \times 1.732} = \frac{1}{0.7013 \text{ nm}} = \mathbf{1.426 \text{ atoms/nm}}$$

Proof: $LD_{[110]} (3.49) > LD_{[100]} (2.47) > LD_{[111]} (1.43)$. The $[110]$ direction has the maximum linear density, explaining why $\langle 110 \rangle$ is the universal slip direction in FCC metals.

FCC Linear Densities (Al):
$[110]$: $LD = \frac{\sqrt{2}}{a} = \mathbf{3.49 \text{ nm}^{-1}}$ (Close-Packed)
$[100]$: $LD = \frac{1}{a} = \mathbf{2.47 \text{ nm}^{-1}}$
$[111]$: $LD = \frac{1}{a\sqrt{3}} = \mathbf{1.43 \text{ nm}^{-1}}$
Problem 16 Planar & Linear Density Intermediate

Linear Atomic Density (LD) Derivation in BCC Crystals

Evaluate linear atomic density along the primary crystallographic axes of a Body-Centered Cubic metal.

  1. For a BCC unit cell with lattice parameter $a$ and atomic radius $R = a\sqrt{3}/4$, derive algebraic linear density expressions along:
    • The $[111]$ direction (close-packed)
    • The $[100]$ direction
    • The $[110]$ direction
  2. Calculate numerical values of $LD$ along $[111]$, $[100]$, and $[110]$ for BCC Tungsten ($a = 0.3165 \text{ nm}$).
  3. Identify the preferred slip direction in BCC metals based on linear density.
Step-by-Step Technical Solution & Analysis
Part (a): Algebraic Derivations for BCC
  • Direction $[111]$ (Body Diagonal):
    • Vector length: $L = a\sqrt{3} = 4R$.
    • Line intersects: $1/2$ corner + 1 center atom + $1/2$ corner = 2 atoms.
    • $$LD_{[111]} = \frac{2}{a\sqrt{3}} = \frac{2}{4R} = \mathbf{\frac{1}{2R}}$$ (Close-packed, 100% linear density).
  • Direction $[100]$ (Cube Edge):
    • Vector length: $L = a$.
    • Line intersects: $1/2$ corner + $1/2$ corner = 1 atom.
    • $$LD_{[100]} = \frac{1}{a} = \frac{\sqrt{3}}{4R} \approx \frac{0.433}{R}$$
  • Direction $[110]$ (Face Diagonal):
    • Vector length: $L = a\sqrt{2}$.
    • Line intersects: $1/2$ corner + $1/2$ corner = 1 atom (no face-center atom in BCC!).
    • $$LD_{[110]} = \frac{1}{a\sqrt{2}} = \frac{\sqrt{3}}{4\sqrt{2}R} \approx \frac{0.306}{R}$$
Part (b): Numerical Calculations for Tungsten ($a = 0.3165 \text{ nm}$)
  • $$LD_{[111]} = \frac{2}{a\sqrt{3}} = \frac{2}{(0.3165 \text{ nm}) \times 1.73205} = \frac{2}{0.5482} = \mathbf{3.648 \text{ atoms/nm}}$$
  • $$LD_{[100]} = \frac{1}{a} = \frac{1}{0.3165 \text{ nm}} = \mathbf{3.160 \text{ atoms/nm}}$$
  • $$LD_{[110]} = \frac{1}{a\sqrt{2}} = \frac{1}{(0.3165 \text{ nm}) \times 1.4142} = \frac{1}{0.4476} = \mathbf{2.234 \text{ atoms/nm}}$$
Part (c): Preferred Slip Direction

Dislocation glide occurs preferentially along directions of maximum atomic packing density (where Burgers vector length $|\mathbf{b}|$ is minimized). Because $[111]$ has the maximum linear density ($3.65 \text{ nm}^{-1}$), $\langle 111 \rangle$ is the universal close-packed slip direction in all BCC metals.

BCC Linear Densities (W):
$[111]$: $LD = \frac{2}{a\sqrt{3}} = \mathbf{3.65 \text{ nm}^{-1}}$ (Close-packed slip direction)
$[100]$: $LD = \frac{1}{a} = \mathbf{3.16 \text{ nm}^{-1}}$
$[110]$: $LD = \frac{1}{a\sqrt{2}} = \mathbf{2.23 \text{ nm}^{-1}}$
Problem 17 Planar & Linear Density Intermediate

Planar Atomic Density (PD) Derivation in FCC Crystals

Planar atomic density ($PD$) measures the atomic packing density of 2D crystallographic planes, dictating close-packed slip planes.

  1. State the definition of Planar Density ($PD$) in atoms per unit area: $$PD = \frac{\text{Number of atoms centered on plane}}{\text{Area of plane}}$$
  2. For an FCC unit cell with lattice parameter $a$, derive the algebraic planar density expressions for:
    • The $(111)$ plane (close-packed)
    • The $(100)$ plane
    • The $(110)$ plane
  3. Calculate numerical values of $PD$ (in $\text{atoms/nm}^2$) for FCC Nickel ($a = 0.3524 \text{ nm}$). Prove that $\{111\}$ planes have the highest planar packing fraction ($0.907$).
Step-by-Step Technical Solution & Analysis
Part (a): Planar Density Definition
$$PD = \frac{\text{Equivalent atoms intersecting the 2D plane}}{\text{Plane Area } A_p}$$
Part (b): Algebraic Derivations for FCC
  • Plane $(111)$ (Equilateral Triangle):
    • Corners are at $(1,0,0), (0,1,0), (0,0,1)$. Each side has length $L = a\sqrt{2}$.
    • Plane area: $A_p = \frac{\sqrt{3}}{4} L^2 = \frac{\sqrt{3}}{4} (2 a^2) = \frac{\sqrt{3}}{2} a^2$.
    • Atoms on plane: 3 corner atoms (each inside triangle by $60^\circ / 360^\circ = 1/6$) + 3 face-center atoms (each bisected by the plane edge, $1/2$ inside): $$N = 3 \times \frac{1}{6} + 3 \times \frac{1}{2} = \frac{1}{2} + \frac{3}{2} = \mathbf{2 \text{ atoms}}$$
    • $$PD_{(111)} = \frac{2}{\frac{\sqrt{3}}{2} a^2} = \mathbf{\frac{4}{\sqrt{3} a^2}} = \frac{1}{4\sqrt{3}R^2}$$
    • Planar packing fraction: $\frac{2 \pi R^2}{\frac{\sqrt{3}}{2} a^2} = \frac{\pi}{2\sqrt{3}} \approx \mathbf{0.9069 \approx 90.7\%}$ (Maximum 2D packing of circles).
  • Plane $(100)$ (Square):
    • Area: $A_p = a^2$.
    • Atoms: 4 corners ($4 \times 1/4 = 1$) + 1 face-center ($1$) = 2 atoms.
    • $$PD_{(100)} = \frac{2}{a^2} = \frac{1}{4 R^2}$$
    • Planar packing fraction: $\frac{2 \pi R^2}{8 R^2} = \frac{\pi}{4} \approx \mathbf{0.7854 \approx 78.5\%}$.
  • Plane $(110)$ (Rectangle):
    • Area: $A_p = a \times a\sqrt{2} = a^2 \sqrt{2}$.
    • Atoms: 4 corners ($4 \times 1/4 = 1$) + 2 face-centers ($2 \times 1/2 = 1$) = 2 atoms.
    • $$PD_{(110)} = \frac{2}{a^2 \sqrt{2}} = \frac{\sqrt{2}}{a^2} \approx \frac{1.414}{a^2}$$
    • Planar packing fraction: $\frac{2 \pi R^2}{a^2\sqrt{2}} = \frac{\pi}{4\sqrt{2}} \approx \mathbf{0.5554 \approx 55.5\%}$.
Part (c): Numerical Calculations for Nickel ($a = 0.3524 \text{ nm}$)

$a^2 = (0.3524 \text{ nm})^2 = 0.124186 \text{ nm}^2$:

  • $$PD_{(111)} = \frac{4}{\sqrt{3} (0.124186 \text{ nm}^2)} = \frac{4}{0.215097} = \mathbf{18.596 \text{ atoms/nm}^2}$$
  • $$PD_{(100)} = \frac{2}{0.124186 \text{ nm}^2} = \mathbf{16.105 \text{ atoms/nm}^2}$$
  • $$PD_{(110)} = \frac{\sqrt{2}}{0.124186 \text{ nm}^2} = \frac{1.4142}{0.124186} = \mathbf{11.388 \text{ atoms/nm}^2}$$

Conclusion: $PD_{(111)} (18.60) > PD_{(100)} (16.11) > PD_{(110)} (11.39)$. The $\{111\}$ planes have the highest planar atomic density, proving they are the close-packed slip planes in FCC metals.

FCC Planar Densities (Ni):
$(111)$: $PD = \frac{4}{\sqrt{3}a^2} = \mathbf{18.60 \text{ nm}^{-2}}$ (Close-Packed, 90.7% coverage)
$(100)$: $PD = \frac{2}{a^2} = \mathbf{16.11 \text{ nm}^{-2}}$ (78.5% coverage)
$(110)$: $PD = \frac{\sqrt{2}}{a^2} = \mathbf{11.39 \text{ nm}^{-2}}$ (55.5% coverage)
Problem 18 Planar & Linear Density Intermediate

Planar Atomic Density (PD) Derivation in BCC Crystals

Evaluate planar atomic density across the primary crystallographic planes of a Body-Centered Cubic metal.

  1. For a BCC unit cell with lattice parameter $a$, derive algebraic planar density expressions for:
    • The $(110)$ plane
    • The $(100)$ plane
    • The $(111)$ plane
  2. Calculate numerical values of $PD$ (in $\text{atoms/nm}^2$) for BCC $\alpha$-Iron ($a = 0.2866 \text{ nm}$).
  3. Which plane has the highest planar density in BCC, and why is $\{110\}$ the primary slip plane?
Step-by-Step Technical Solution & Analysis
Part (a): Algebraic Derivations for BCC
  • Plane $(110)$ (Diagonal Rectangle):
    • Dimensions: $a \times a\sqrt{2}$. Area: $A_p = a^2 \sqrt{2}$.
    • Atoms on plane: 4 corners ($4 \times 1/4 = 1$) + 1 whole center atom = 2 atoms.
    • $$PD_{(110)} = \frac{2}{a^2 \sqrt{2}} = \mathbf{\frac{\sqrt{2}}{a^2}} = \frac{3\sqrt{2}}{16 R^2} \approx \frac{0.265}{R^2}$$
    • Planar packing fraction: $\frac{2 \pi R^2}{a^2 \sqrt{2}} = \frac{2 \pi R^2}{(16 R^2 / 3)\sqrt{2}} = \frac{3 \pi}{8 \sqrt{2}} \approx \mathbf{0.833 \approx 83.3\%}$.
  • Plane $(100)$ (Cube Face):
    • Area: $A_p = a^2$.
    • Atoms: 4 corners ($4 \times 1/4 = 1$) = 1 atom (no face center in BCC!).
    • $$PD_{(100)} = \frac{1}{a^2} = \frac{3}{16 R^2} \approx \frac{0.1875}{R^2}$$
    • Planar packing fraction: $\frac{\pi R^2}{a^2} = \frac{3 \pi}{16} \approx \mathbf{0.589 \approx 58.9\%}$.
  • Plane $(111)$ (Triangular Incline):
    • Side: $L = a\sqrt{2}$. Area: $A_p = \frac{\sqrt{3}}{2} a^2$.
    • Atoms: 3 corners ($3 \times 1/6 = 1/2$) = 0.5 atoms (body center does NOT lie on the plane!).
    • $$PD_{(111)} = \frac{0.5}{\frac{\sqrt{3}}{2} a^2} = \frac{1}{\sqrt{3} a^2} \approx \frac{0.577}{a^2}$$
    • Planar packing fraction: $\approx \mathbf{0.340 \approx 34.0\%}$.
Part (b): Numerical Calculations for $\alpha$-Iron ($a = 0.2866 \text{ nm}$)

$a^2 = (0.2866 \text{ nm})^2 = 0.08214 \text{ nm}^2$:

  • $$PD_{(110)} = \frac{\sqrt{2}}{0.08214 \text{ nm}^2} = \frac{1.4142}{0.08214} = \mathbf{17.217 \text{ atoms/nm}^2}$$
  • $$PD_{(100)} = \frac{1}{0.08214 \text{ nm}^2} = \mathbf{12.174 \text{ atoms/nm}^2}$$
  • $$PD_{(111)} = \frac{1}{\sqrt{3} (0.08214 \text{ nm}^2)} = \frac{0.57735}{0.08214} = \mathbf{7.029 \text{ atoms/nm}^2}$$
Part (c): Primary Slip Plane in BCC

The $\{110\}$ planes have the highest planar atomic density ($17.22 \text{ nm}^{-2}$, 83.3% packing fraction) and the largest interplanar spacing ($d_{110} = a/\sqrt{2}$). According to the Peierls-Nabarro model, shear resistance is minimized on planes with maximum interplanar spacing and maximum planar density. Therefore, $\{110\}$ planes are the primary slip planes in all BCC metals.

BCC Planar Densities ($\alpha$-Fe):
$(110)$: $PD = \frac{\sqrt{2}}{a^2} = \mathbf{17.22 \text{ nm}^{-2}}$ (Densely packed slip plane, 83.3% packing)
$(100)$: $PD = \frac{1}{a^2} = \mathbf{12.17 \text{ nm}^{-2}}$
$(111)$: $PD = \frac{1}{\sqrt{3}a^2} = \mathbf{7.03 \text{ nm}^{-2}}$
Problem 19 Miller Indices Fundamental

Crystallographic Directions in Cubic Crystals: Indexing Algorithm

Crystallographic directions are designated by a set of three integers enclosed in square brackets: $[uvw]$.

  1. State the step-by-step 4-stage algorithm used to determine the Miller indices of a direction vector in a cubic unit cell.
  2. How are negative vector projections denoted in crystallographic notation?
  3. Given a vector that starts at origin $(0, 0, 0)$ and ends at point $(a, a/2, a/4)$, determine its Miller indices $[uvw]$.
Step-by-Step Technical Solution & Analysis
Part (a): 4-Stage Indexing Algorithm for Directions
  1. Position Vector: Establish a right-handed Cartesian coordinate system ($x, y, z$) with origin at a unit cell corner. Determine coordinates of the vector head $(x_2, y_2, z_2)$ and tail $(x_1, y_1, z_1)$.
  2. Vector Subtraction: Subtract tail coordinates from head coordinates: $\Delta x = x_2 - x_1$, $\Delta y = y_2 - y_1$, $\Delta z = z_2 - z_1$.
  3. Clear Fractions / Scale: Divide by lattice parameters ($a, b, c$) to obtain dimensionless projections. Multiply or divide by a common factor to reduce these numbers to the smallest set of integers.
  4. Enclose: Enclose the three integers in square brackets without commas: $[uvw]$.
Part (b): Negative Vector Projections

Negative integer indices are represented by placing an overbar (macron) directly above the integer: e.g., $-1$ is written as $\bar{1}$ (pronounced "bar one" or "minus one"), and $-2$ is written as $\bar{2}$.

Part (c): Step-by-Step Example Calculation

Tail: $(0, 0, 0)$; Head: $(a, a/2, a/4)$.

  • Projections in units of lattice parameter $a$: $$\Delta x = 1 - 0 = 1, \quad \Delta y = \frac{1}{2} - 0 = \frac{1}{2}, \quad \Delta z = \frac{1}{4} - 0 = \frac{1}{4}$$
  • Multiply by the lowest common denominator (4) to clear fractions: $$1 \times 4 = 4, \quad \frac{1}{2} \times 4 = 2, \quad \frac{1}{4} \times 4 = 1$$
  • Integers: $4, 2, 1$.

The crystallographic direction is $[421]$.

Final Result: Direction is $[421]$.
Problem 20 Miller Indices Fundamental

Drawing and Indexing Specific Cubic Directions

Determine the Miller indices for the following vectors within a cubic unit cell of side length $a$:

  1. Vector 1: Tail at $(0, 0, 0)$, Head at $(a, a, 0)$
  2. Vector 2: Tail at $(a, 0, 0)$, Head at $(0, a, 0)$
  3. Vector 3: Tail at $(0, a, 0)$, Head at $(a, 0, a)$
  4. Vector 4: Tail at $(a/2, 0, a)$, Head at $(0, a, a/2)$
Step-by-Step Technical Solution & Analysis
Vector 1: Tail $(0, 0, 0) \to$ Head $(1, 1, 0)$

Projections: $1 - 0 = 1, \ 1 - 0 = 1, \ 0 - 0 = 0$.
Integers: $[110]$. Represents a face diagonal on the $xy$-plane.

Vector 2: Tail $(1, 0, 0) \to$ Head $(0, 1, 0)$

Projections: $0 - 1 = -1, \ 1 - 0 = 1, \ 0 - 0 = 0$.
Integers with overbar: $[\bar{1}10]$. Face diagonal pointing from $(1,0,0)$ to $(0,1,0)$.

Vector 3: Tail $(0, 1, 0) \to$ Head $(1, 0, 1)$

Projections: $1 - 0 = 1, \ 0 - 1 = -1, \ 1 - 0 = 1$.
Integers: $[1\bar{1}1]$. Body diagonal direction.

Vector 4: Tail $(1/2, 0, 1) \to$ Head $(0, 1, 1/2)$

Projections: $$\Delta x = 0 - \frac{1}{2} = -\frac{1}{2}, \quad \Delta y = 1 - 0 = 1, \quad \Delta z = \frac{1}{2} - 1 = -\frac{1}{2}$$ Multiply by 2 to clear fractions: $$u = -1, \quad v = 2, \quad w = -1$$ Enclosing: $[\bar{1}2\bar{1}]$.

Results:
Vector 1: $[110]$ • Vector 2: $[\bar{1}10]$
Vector 3: $[1\bar{1}1]$ • Vector 4: $[\bar{1}2\bar{1}]$
Problem 21 Miller Indices Fundamental

Families of Crystallographic Directions: Notation and Multiplicity

Due to the high symmetry of cubic crystals, multiple directions are crystallographically equivalent in atomic spacing and linear density.

  1. State the notation used for a Family of Crystallographic Directions (angle brackets: $\langle uvw \rangle$).
  2. List all individual members of the $\langle 100 \rangle$ family and state its multiplicity ($N_{\text{mult}}$).
  3. List all individual members of the $\langle 110 \rangle$ family (multiplicity = 12) and the $\langle 111 \rangle$ family (multiplicity = 8) in a cubic crystal.
Step-by-Step Technical Solution & Analysis
Part (a): Family Notation Defined

A family of crystallographically equivalent directions is designated by enclosing the indices in angle brackets: $\langle uvw \rangle$. In cubic symmetry, equivalence is generated by permuting indices and altering signs (reversing sense).

Part (b): The $\langle 100 \rangle$ Family (Cube Edges)

The $\langle 100 \rangle$ family contains 6 equivalent directions ($N_{\text{mult}} = 6$):

$$\langle 100 \rangle = \{ [100], [\bar{1}00], [010], [0\bar{1}0], [001], [00\bar{1}] \}$$
Part (c): The $\langle 110 \rangle$ and $\langle 111 \rangle$ Families
  • $\langle 110 \rangle$ Family (Face Diagonals, Multiplicity = 12): $$\langle 110 \rangle = \begin{cases} [110], [\bar{1}\bar{1}0], [1\bar{1}0], [\bar{1}10], \\ [101], [\bar{1}0\bar{1}], [10\bar{1}], [\bar{1}01], \\ [011], [0\bar{1}\bar{1}], [01\bar{1}], [0\bar{1}1] \end{cases}$$
  • $\langle 111 \rangle$ Family (Body Diagonals, Multiplicity = 8): $$\langle 111 \rangle = \{ [111], [\bar{1}\bar{1}\bar{1}], [\bar{1}11], [1\bar{1}\bar{1}], [1\bar{1}1], [\bar{1}1\bar{1}], [11\bar{1}], [\bar{1}\bar{1}1] \}$$
Summary:
$\langle 100 \rangle$: Multiplicity = 6
$\langle 110 \rangle$: Multiplicity = 12 (FCC slip directions)
$\langle 111 \rangle$: Multiplicity = 8 (BCC slip directions)
Problem 22 Miller Indices Fundamental

Angle Between Crystallographic Directions in Cubic Crystals

The angle $\theta$ between two crystallographic directions in a cubic crystal is calculated using the vector dot product.

  1. State the formula for $\cos\theta$ between directions $[u_1 v_1 w_1]$ and $[u_2 v_2 w_2]$ in a cubic crystal.
  2. Calculate the angle $\theta$ between the $[110]$ face diagonal and the $[111]$ body diagonal.
  3. Calculate the angle between $[100]$ and $[111]$. Show that the $[110]$ direction is perpendicular to $[\bar{1}10]$.
Step-by-Step Technical Solution & Analysis
Part (a): Dot Product Angle Formula for Cubic Crystals
$$\cos\theta = \frac{\mathbf{v}_1 \cdot \mathbf{v}_2}{|\mathbf{v}_1| |\mathbf{v}_2|} = \frac{u_1 u_2 + v_1 v_2 + w_1 w_2}{\sqrt{u_1^2 + v_1^2 + w_1^2} \sqrt{u_2^2 + v_2^2 + w_2^2}}$$

Note: This simple formula is valid strictly for cubic crystals where coordinate axes are orthogonal and equal in length ($a=b=c, \alpha=\beta=\gamma=90^\circ$).

Part (b): Angle Between $[110]$ and $[111]$
$$\cos\theta = \frac{(1)(1) + (1)(1) + (0)(1)}{\sqrt{1^2 + 1^2 + 0^2} \sqrt{1^2 + 1^2 + 1^2}} = \frac{1 + 1 + 0}{\sqrt{2} \sqrt{3}} = \frac{2}{\sqrt{6}} \approx \frac{2}{2.4495} = 0.8165$$ $$\theta = \arccos(0.8165) \approx \mathbf{35.26^\circ}$$
Part (c): Additional Angle Calculations
  • Angle Between $[100]$ and $[111]$: $$\cos\theta = \frac{(1)(1) + (0)(1) + (0)(1)}{\sqrt{1} \sqrt{3}} = \frac{1}{\sqrt{3}} \approx 0.57735 \implies \theta = \arccos(0.57735) \approx \mathbf{54.74^\circ}$$
  • Orthogonality of $[110]$ and $[\bar{1}10]$: $$\mathbf{v}_1 \cdot \mathbf{v}_2 = (1)(-1) + (1)(1) + (0)(0) = -1 + 1 + 0 = 0$$ Because $\cos\theta = 0$, $\theta = \mathbf{90.0^\circ}$ (mutually perpendicular).
Calculated Angles:
Between $[110]$ and $[111]$: $\theta = \mathbf{35.26^\circ}$
Between $[100]$ and $[111]$: $\theta = \mathbf{54.74^\circ}$
Between $[110]$ and $[\bar{1}10]$: $\theta = \mathbf{90.00^\circ}$ (Orthogonal)
Problem 23 Miller Indices Fundamental

Crystallographic Planes in Cubic Crystals: Miller Indices Algorithm

Crystallographic planes in crystals are designated by a triplet of integers enclosed in parentheses: $(hkl)$.

  1. State the 4-step algorithm developed by William Hallowes Miller to determine the Miller indices of a plane.
  2. How is a plane parallel to a coordinate axis represented mathematically?
  3. Determine the Miller indices for a plane that intercepts the coordinate axes at $x = 1/2 a$, $y = 2/3 a$, and $z = 1 a$.
Step-by-Step Technical Solution & Analysis
Part (a): Miller Indices Algorithm for Planes
  1. Origin Selection: If the plane passes through the origin $(0,0,0)$, construct an equivalent parallel plane by translating the coordinate origin to an adjacent corner of the unit cell.
  2. Determine Intercepts: Determine the axial intercept distances of the plane with the three axes ($x, y, z$) in terms of lattice parameters: $(x_{\text{int}}, y_{\text{int}}, z_{\text{int}})$.
  3. Take Reciprocals: Take the mathematical reciprocals of these intercept values: $\left( \frac{1}{x_{\text{int}}}, \frac{1}{y_{\text{int}}}, \frac{1}{z_{\text{int}}} \right)$. If a plane is parallel to an axis, its intercept is at infinity ($\infty$), so its reciprocal is $1/\infty = 0$.
  4. Clear Fractions: Multiply by the lowest common denominator to reduce to the smallest integer set, and enclose in parentheses: $(hkl)$. Negative indices receive overbars: e.g., $(\bar{h}kl)$.
Part (b): Planes Parallel to Coordinate Axes

If a plane is parallel to an axis, it never intersects it (intercept at $\infty$). The reciprocal is $1/\infty = 0$. For example, a plane parallel to $y$ and $z$ that intercepts $x$ at $1a$ has intercepts $(1, \infty, \infty) \to (1/1, 1/\infty, 1/\infty) = (1, 0, 0) \implies \mathbf{(100)}$.

Part (c): Step-by-Step Plane Calculation

Given intercepts: $x = 1/2$, $y = 2/3$, $z = 1$.

  • Reciprocals: $$\frac{1}{1/2} = 2, \quad \frac{1}{2/3} = \frac{3}{2}, \quad \frac{1}{1} = 1$$
  • Clear fractions by multiplying by 2: $$2 \times 2 = 4, \quad \frac{3}{2} \times 2 = 3, \quad 1 \times 2 = 2$$
  • Integers: $4, 3, 2$.

The Miller indices of the plane are $(432)$.

Final Result: Miller indices: $(432)$.
Problem 24 Miller Indices Fundamental

Drawing and Indexing Specific Cubic Planes

Determine the Miller indices for the following crystallographic planes in a cubic unit cell:

  1. Plane 1: Intercepts $x$ at $a$, parallel to $y$-axis and $z$-axis
  2. Plane 2: Intercepts $x$ at $a$, $y$ at $a$, parallel to $z$-axis
  3. Plane 3: Intercepts $x$ at $a$, $y$ at $a$, and $z$ at $a$
  4. Plane 4: Intercepts $x$ at $a/2$, $y$ at $a$, and $z$ at $-a$
Step-by-Step Technical Solution & Analysis
Plane 1: Intercepts $(1, \infty, \infty)$

Reciprocals: $(1/1, 1/\infty, 1/\infty) = (1, 0, 0) \implies \mathbf{(100)}$. Front face of the cube.

Plane 2: Intercepts $(1, 1, \infty)$

Reciprocals: $(1/1, 1/1, 1/\infty) = (1, 1, 0) \implies \mathbf{(110)}$. Diagonal plane cutting through the cube.

Plane 3: Intercepts $(1, 1, 1)$

Reciprocals: $(1/1, 1/1, 1/1) = (1, 1, 1) \implies \mathbf{(111)}$. Triangular close-packed plane.

Plane 4: Intercepts $(1/2, 1, -1)$

Reciprocals: $$\frac{1}{1/2} = 2, \quad \frac{1}{1} = 1, \quad \frac{1}{-1} = -1$$ Integers: $2, 1, \bar{1} \implies \mathbf{(21\bar{1})}$.

Results:
Plane 1: $(100)$ • Plane 2: $(110)$
Plane 3: $(111)$ • Plane 4: $(21\bar{1})$
Problem 25 Miller Indices Intermediate

Planes Passing Through the Origin: Origin Translation Technique

If a crystallographic plane passes directly through the defined coordinate origin $(0, 0, 0)$, its intercepts cannot be evaluated without translating the origin.

  1. Explain the origin shift procedure: why is translating the origin to an adjacent lattice point crystallographically valid?
  2. Consider a diagonal plane defined by corners $(0, 0, 0)$, $(a, a, 0)$, $(0, 0, a)$, and $(a, a, a)$. Show that this plane passes through the origin.
  3. Translate the origin to $(0, a, 0)$ and determine the correct Miller indices of this plane.
Step-by-Step Technical Solution & Analysis
Part (a): Origin Translation Validity

Due to the infinite 3D translational periodicity of a Bravais lattice, every lattice point is identical and equivalent. Shifting the coordinate origin by an integer lattice translation vector ($\mathbf{T} = u \mathbf{a} + v \mathbf{b} + w \mathbf{c}$) does not alter the physical orientation or crystallographic identity of the crystal plane.

Part (b): Verifying Origin Intersection

The plane contains the point $(0, 0, 0)$. Attempting to take the reciprocal of zero ($1/0 \to \infty$) is mathematically undefined. Therefore, the origin must be translated.

Part (c): Origin Shift to $(0, 1, 0)$ and Indexing

Translate the new origin $O'$ to $(0, a, 0)$:

  • In this new frame $O'$:
    • The point $(a, a, 0)$ corresponds to $x' = +a$, $y' = 0$. Intercept with $x'$-axis is at $+1a$.
    • The point $(0, 0, 0)$ corresponds to $x' = 0$, $y' = -a$. Intercept with $y'$-axis is at $-1a$.
    • The plane contains the vertical line from $(0, 0, 0)$ to $(0, 0, a)$, meaning it is parallel to the $z$-axis. Intercept with $z'$-axis is at $\infty$.
  • Intercepts relative to $O'$: $(+1, -1, \infty)$.
  • Reciprocals: $$\frac{1}{+1} = 1, \quad \frac{1}{-1} = -1, \quad \frac{1}{\infty} = 0$$
  • Enclosing: $(1\bar{1}0)$.

(Alternatively, shifting the origin to $(1, 0, 0)$ yields intercepts $(-1, +1, \infty) \to (\bar{1}10)$, which is the identical plane with opposite surface normal).

Final Result: Miller indices: $(1\bar{1}0)$ (or $(\bar{1}10)$).
Problem 26 Miller Indices Advanced

Orthogonality Condition: Proof that [hkl] is Perpendicular to (hkl) in Cubic Systems

In cubic crystals, the direction vector $[hkl]$ is perpendicular (normal) to the crystallographic plane $(hkl)$ having the exact same numerical indices.

  1. Prove analytically that in a cubic lattice, the direction vector $\mathbf{v} = h \mathbf{i} + k \mathbf{j} + l \mathbf{k}$ is perpendicular to any vector $\mathbf{u}$ lying entirely within the plane $(hkl)$.
  2. Is this perpendicularity relationship valid for tetragonal, hexagonal, or orthorhombic crystal systems? Explain why or why not.
  3. Identify the crystallographic direction that is normal to the $(111)$ slip plane, and write the unit normal vector $\mathbf{n}$.
Step-by-Step Technical Solution & Analysis
Part (a): Analytical Proof for Cubic Systems

A plane $(hkl)$ has axial intercepts at $A = (a/h, 0, 0)$, $B = (0, a/k, 0)$, and $C = (0, 0, a/l)$.

Construct two independent vectors lying within the plane connecting the intercepts:

$$\mathbf{u}_1 = \mathbf{B} - \mathbf{A} = -\frac{a}{h} \mathbf{i} + \frac{a}{k} \mathbf{j} + 0 \mathbf{k}$$ $$\mathbf{u}_2 = \mathbf{C} - \mathbf{A} = -\frac{a}{h} \mathbf{i} + 0 \mathbf{j} + \frac{a}{l} \mathbf{k}$$

Now take the dot product of the direction vector $\mathbf{v} = h \mathbf{i} + k \mathbf{j} + l \mathbf{k}$ with $\mathbf{u}_1$:

$$\mathbf{v} \cdot \mathbf{u}_1 = (h)\left( -\frac{a}{h} \right) + (k)\left( \frac{a}{k} \right) + (l)(0) = -a + a + 0 = \mathbf{0}$$

Similarly, take the dot product of $\mathbf{v}$ with $\mathbf{u}_2$:

$$\mathbf{v} \cdot \mathbf{u}_2 = (h)\left( -\frac{a}{h} \right) + (k)(0) + (l)\left( \frac{a}{l} \right) = -a + 0 + a = \mathbf{0}$$

Because $\mathbf{v}$ is orthogonal to two non-parallel vectors spanning the plane ($\mathbf{v} \cdot \mathbf{u}_1 = 0$ and $\mathbf{v} \cdot \mathbf{u}_2 = 0$), $\mathbf{v} = [hkl]$ is strictly perpendicular to the plane $(hkl)$.

Part (b): Validity in Non-Cubic Systems

This simple relationship is NOT valid in general for non-cubic systems (tetragonal, hexagonal, orthorhombic, monoclinic, triclinic). In non-cubic systems, because axial lengths differ ($a \ne b \ne c$) and/or interaxial angles are non-orthogonal ($\alpha, \beta, \gamma \ne 90^\circ$), the real-space direction vector $[hkl]$ deviates significantly from the reciprocal lattice vector $\mathbf{g}_{hkl}$ normal to $(hkl)$.

Part (c): Normal to the $(111)$ Slip Plane

The direction normal to $(111)$ in a cubic crystal is the $[111]$ body diagonal.

The unit normal vector is:

$$\mathbf{n} = \frac{[111]}{\sqrt{1^2 + 1^2 + 1^2}} = \mathbf{\frac{1}{\sqrt{3}} (\mathbf{i} + \mathbf{j} + \mathbf{k})}$$
Proof Complete: In cubic systems, $[hkl] \perp (hkl)$ because $\mathbf{v} \cdot \mathbf{u} = 0$ for all in-plane vectors. The unit normal to $(111)$ is $\mathbf{n} = \frac{1}{\sqrt{3}}[111]$.
Problem 27 Miller Indices Fundamental

Families of Crystallographic Planes: Multiplicity in Cubic Crystals

A family of symmetry-equivalent crystallographic planes is designated by braces: $\{hkl\}$.

  1. State the notation used for a Family of Planes ($\{hkl\}$).
  2. List all individual members of the $\{100\}$ family and state its multiplicity ($N_{\text{mult}}$).
  3. List all individual members of the $\{110\}$ family (multiplicity = 6 pairs = 12 faces) and the $\{111\}$ family (multiplicity = 4 pairs = 8 faces) in a cubic crystal.
Step-by-Step Technical Solution & Analysis
Part (a): Family of Planes Notation

A family of crystallographically equivalent planes is enclosed in braces: $\{hkl\}$. In cubic symmetry, all planes in a family share identical planar atomic packing density and identical interplanar spacing.

Part (b): The $\{100\}$ Family (Cube Faces)

The $\{100\}$ family contains the 6 faces of the cube ($N_{\text{mult}} = 6$):

$$\{100\} = \{ (100), (\bar{1}00), (010), (0\bar{1}0), (001), (00\bar{1}) \}$$
Part (c): The $\{110\}$ and $\{111\}$ Families
  • $\{110\}$ Family (Diagonal Planes, Multiplicity = 12): $$\{110\} = \begin{cases} (110), (\bar{1}\bar{1}0), (1\bar{1}0), (\bar{1}10), \\ (101), (\bar{1}0\bar{1}), (10\bar{1}), (\bar{1}01), \\ (011), (0\bar{1}\bar{1}), (01\bar{1}), (0\bar{1}1) \end{cases}$$ (These are the 12 primary slip planes of BCC metals).
  • $\{111\}$ Family (Octahedral Planes, Multiplicity = 8): $$\{111\} = \{ (111), (\bar{1}\bar{1}\bar{1}), (\bar{1}11), (1\bar{1}\bar{1}), (1\bar{1}1), (\bar{1}1\bar{1}), (11\bar{1}), (\bar{1}\bar{1}1) \}$$ (These form the 8 faces of a regular octahedron; the 4 non-parallel pairs define the close-packed slip planes of FCC metals).
Summary:
$\{100\}$: Multiplicity = 6 (Cube faces)
$\{110\}$: Multiplicity = 12 (BCC slip planes)
$\{111\}$: Multiplicity = 8 (FCC octahedral slip planes)
Problem 28 Close-Packed Structures Fundamental

Close-Packed Stacking Sequences: FCC (ABCABC) vs. HCP (ABAB)

Both Face-Centered Cubic (FCC) and Hexagonal Close-Packed (HCP) structures achieve the maximum theoretical sphere packing density ($\text{APF} = 0.740$), differing only in their 2D close-packed stacking sequence.

  1. Describe how close-packed atomic planes (layer $A$) contain two sets of triangular interstitial hollows, labeled $B$ and $C$.
  2. Contrast the stacking sequence of HCP ($ABABAB\dots$) with that of FCC ($ABCABC\dots$) along their respective close-packed stacking directions.
  3. Along which crystallographic direction is the $ABCABC\dots$ sequence stacked in FCC? Along which direction is the $ABABAB\dots$ sequence stacked in HCP?
Step-by-Step Technical Solution & Analysis
Part (a): Triangular Interstitial Hollows in 2D Close-Packed Layers

Consider a 2D triangular close-packed layer of spheres (Layer $A$):

  • Every sphere is touched by 6 coplanar neighbors. In the gaps between spheres, two sets of triangular dip hollows exist:
    1. One set of triangular hollows points upward (Δ): labeled $B$-sites.
    2. The second set points downward (∇): labeled $C$-sites.
  • A second close-packed layer can be placed into either the $B$ hollows or $C$ hollows. Let the second layer occupy the $B$-sites (Layer $B$).
Part (b): HCP ($ABAB\dots$) vs. FCC ($ABCABC\dots$)
  • Hexagonal Close-Packed (HCP): The third layer is placed into triangular hollows that sit directly vertically above the atoms of Layer $A$. The stacking pattern repeats every two layers: $$\dots A - B - A - B - A - B \dots$$
  • Face-Centered Cubic (FCC): The third layer is placed into the alternative triangular hollows (the $C$-sites) that sit above the empty depressions of Layer $A$. This creates a unique third layer (Layer $C$). Only the fourth layer repeats directly above Layer $A$: $$\dots A - B - C - A - B - C \dots$$
Part (c): Stacking Directions in Real Crystals
  • FCC Stacking: The $ABCABC\dots$ sequence is stacked along the $\langle 111 \rangle$ body-diagonal directions perpendicular to the close-packed $\{111\}$ planes.
  • HCP Stacking: The $ABABAB\dots$ sequence is stacked along the $[0001]$ $c$-axis direction perpendicular to the close-packed $(0001)$ basal planes.
Synthesis:
HCP = $\dots ABABAB \dots$ (2-layer repeat along $[0001]$)
FCC = $\dots ABCABC \dots$ (3-layer repeat along $\langle 111 \rangle$)
Both have $\text{CN} = 12$ and $\text{APF} = 0.740$.
Problem 29 Close-Packed Structures Intermediate

Stacking Faults in FCC Crystals: Intrinsic vs. Extrinsic Faults

An error in the regular close-packed stacking sequence creates a 2D planar defect known as a Stacking Fault.

  1. Differentiate between an Intrinsic Stacking Fault (removal of a close-packed layer) and an Extrinsic Stacking Fault (insertion of an extra close-packed layer) in an FCC crystal.
  2. Write the atomic stacking sequence for an intrinsic stacking fault and an extrinsic stacking fault, showing that a local slab of HCP stacking is formed inside the FCC matrix.
  3. Define Stacking Fault Energy (SFE). Contrast a high-SFE metal (e.g., Aluminum, $\text{SFE} \approx 160 \text{ mJ/m}^2$) with a low-SFE alloy (e.g., 70-30 Brass or Austenitic Stainless Steel, $\text{SFE} \approx 15–20 \text{ mJ/m}^2$) in terms of partial dislocation separation and cross-slip mobility.
Step-by-Step Technical Solution & Analysis
Part (a): Intrinsic vs. Extrinsic Stacking Faults
  • Intrinsic Fault: Created when one close-packed $\{111\}$ layer is missing from the normal sequence (e.g., by the condensation of a disc of vacancies).
  • Extrinsic Fault: Created when an extra close-packed $\{111\}$ layer is inserted into the sequence (e.g., by the agglomeration of a disc of interstitial atoms).
Part (b): Stacking Sequences and Local HCP Structure
  • Perfect FCC: $$\dots A - B - C - A - B - C - A - B - C \dots$$
  • Intrinsic Stacking Fault (Layer $C$ removed): $$\dots A - B - C - A - B - \underbrace{\mathbf{A - B - A - B}}_{\text{Local HCP!}} - C \dots$$ Notice the 4-layer sequence $\mathbf{ABAB}$—this is exactly a two-layer-thick ribbon of the HCP phase embedded inside the FCC matrix!
  • Extrinsic Stacking Fault (Extra layer $B'$ inserted): $$\dots A - B - C - \mathbf{B} - A - B - C \dots$$
Part (c): Stacking Fault Energy (SFE) & Cross-Slip Dynamics

The Stacking Fault Energy (SFE, $\gamma_{\text{SF}}$) is the excess interfacial free energy per unit area of the fault ribbon:

  • A unit dislocation in FCC ($\mathbf{b} = \frac{a}{2}\langle 110 \rangle$) dissociates into two Shockley partial dislocations ($\mathbf{b}_1 = \frac{a}{6}\langle 112 \rangle$ and $\mathbf{b}_2 = \frac{a}{6}\langle 211 \rangle$) bounding a ribbon of stacking fault of width $d_{\text{SF}} \propto \frac{G b^2}{\gamma_{\text{SF}}}$.
  • High-SFE Metals (Aluminum, $\gamma_{\text{SF}} \approx 160 \text{ mJ/m}^2$): The stacking fault is energetically costly, forcing the partials close together ($d_{\text{SF}} < 1 \text{ nm}$). Partials easily recombine into a unit dislocation, enabling rapid cross-slip, wavy slip lines, and dynamic recovery.
  • Low-SFE Alloys (Brass, 304 Stainless Steel, $\gamma_{\text{SF}} \approx 15 \text{ mJ/m}^2$): The low energy penalty allows the partials to separate widely ($d_{\text{SF}} > 5–10 \text{ nm}$). Partials cannot recombine; dislocations are strictly confined to their original slip plane (planar slip). Cross-slip is impossible, causing heavy strain hardening and activating deformation twinning (TWIP effect).
Synthesis: Stacking faults in FCC create localized ribbons of HCP stacking. High-SFE metals (Al) cross-slip easily; low-SFE alloys (stainless steel) feature wide stacking faults that suppress cross-slip and promote deformation twinning.
Problem 30 Miller Indices Intermediate

Hexagonal Miller-Bravais Indices: The 4-Axis Coordinate System

In hexagonal crystals, crystallographic directions and planes are indexed using the 4-axis Miller-Bravais system ($a_1, a_2, a_3, c$).

  1. Explain why a standard 3-axis system ($a_1, a_2, c$) fails to reflect the hexagonal symmetry of equivalent directions and planes.
  2. Describe the spatial orientation of the three basal axes ($a_1, a_2, a_3$) in the basal plane. Prove mathematically from vector geometry that the third index $t$ (for directions) and $i$ (for planes) satisfies: $$t = -(u + v) \quad \text{and} \quad i = -(h + k)$$
  3. State the 4-index notation for hexagonal planes: $(hkil)$.
Step-by-Step Technical Solution & Analysis
Part (a): Limitation of 3-Axis System in Hexagonal Crystals

If only two basal axes ($a_1, a_2$) are used, symmetry-equivalent planes receive completely different numerical indices. For example, three prism faces related by $60^\circ$ rotations would be indexed as $(100)$, $(010)$, and $(110)$, obscuring their crystallographic equivalence. The 4-axis Miller-Bravais system restores permutation symmetry: these same three prism planes become $(10\bar{1}0)$, $(01\bar{1}0)$, and $(\bar{1}100)$, which all belong to the family $\{10\bar{1}0\}$.

Part (b): 3-Axis Basal Geometry and Proof: $i = -(h + k)$

The three basal axes $\mathbf{a}_1, \mathbf{a}_2, \mathbf{a}_3$ lie in the basal plane, coplanar and separated by angles of exactly $120^\circ$:

  • The unit vectors satisfy the vector sum: $$\mathbf{a}_1 + \mathbf{a}_2 + \mathbf{a}_3 = 0 \implies \mathbf{a}_3 = -(\mathbf{a}_1 + \mathbf{a}_2)$$
  • For a plane with reciprocal intercepts $h, k, i$: $$\mathbf{g} = h \mathbf{a}_1^* + k \mathbf{a}_2^* + i \mathbf{a}_3^* + l \mathbf{c}^*$$ Because the three real-space axes sum to zero, their reciprocal representations enforce: $$h + k + i = 0 \implies \mathbf{i = -(h + k)}$$
  • Similarly for directions $[uvtw]$: $$u + v + t = 0 \implies \mathbf{t = -(u + v)}$$
Part (c): 4-Index Plane Notation

Hexagonal planes are indexed as $(hkil)$, where $h, k, i$ are the basal reciprocals and $l$ is the $c$-axis reciprocal, with $i$ always satisfying $i = -(h + k)$.

Fundamental Hexagonal Relations:
Planes: $(hkil)$ where $\mathbf{i = -(h + k)}$
Directions: $[uvtw]$ where $\mathbf{t = -(u + v)}$
Restores permutation symmetry for hexagonal crystals.
Problem 31 Miller Indices Intermediate

Conversion of Hexagonal Directions: 3-Index vs. 4-Index Systems

Hexagonal directions can be expressed either in the 3-axis notation $[u'v'w']$ or the 4-axis Miller-Bravais notation $[uvtw]$.

  1. State the conversion formulas used to transform 3-index directions $[u'v'w']$ into 4-index directions $[uvtw]$: $$u = \frac{2u' - v'}{3}, \quad v = \frac{2v' - u'}{3}, \quad t = -(u + v), \quad w = w'$$
  2. Convert the 3-index direction $[110]$ into its 4-index Miller-Bravais notation.
  3. Convert the 3-index direction $[100]$ into its 4-index Miller-Bravais notation. Show that the resulting indices satisfy $u + v + t = 0$.
Step-by-Step Technical Solution & Analysis
Part (a): Conversion Formulas

To convert from 3-axis $[u'v'w']$ to 4-axis $[uvtw]$:

$$u = \frac{1}{3} (2u' - v')$$ $$v = \frac{1}{3} (2v' - u')$$ $$t = -(u + v) = -\frac{1}{3} (u' + v')$$ $$w = w'$$

Reduce the resulting fractions $u, v, t, w$ to the smallest set of integers.

Part (b): Conversion of $[110]$

Given $u' = 1, v' = 1, w' = 0$:

$$u = \frac{2(1) - 1}{3} = \frac{1}{3}$$ $$v = \frac{2(1) - 1}{3} = \frac{1}{3}$$ $$t = -(u + v) = -\left(\frac{1}{3} + \frac{1}{3}\right) = -\frac{2}{3}$$ $$w = 0$$

Multiply all indices by 3 to clear fractions:

$$u = 1, \quad v = 1, \quad t = -2, \quad w = 0$$

The 4-index Miller-Bravais direction is $[11\bar{2}0]$ (the close-packed slip direction in HCP!).

Part (c): Conversion of $[100]$

Given $u' = 1, v' = 0, w' = 0$:

$$u = \frac{2(1) - 0}{3} = \frac{2}{3}$$ $$v = \frac{2(0) - 1}{3} = -\frac{1}{3}$$ $$t = -(u + v) = -\left(\frac{2}{3} - \frac{1}{3}\right) = -\frac{1}{3}$$ $$w = 0$$

Multiply all indices by 3:

$$u = 2, \quad v = -1, \quad t = -1, \quad w = 0$$

The 4-index direction is $[2\bar{1}\bar{1}0]$.

Verification: $u + v + t = 2 + (-1) + (-1) = \mathbf{0}$. Satisfied!

Converted Results:
$[110] \to \mathbf{[11\bar{2}0]}$ (Close-packed slip direction)
$[100] \to \mathbf{[2\bar{1}\bar{1}0]}$
Problem 32 Miller Indices Fundamental

Drawing and Indexing Primary Planes in HCP Metals

Plastic deformation and fracture in HCP metals are dictated by three primary sets of crystallographic planes.

  1. Identify the Miller-Bravais indices $(hkil)$ for the Basal Plane.
  2. Identify the indices for the three first-order Prismatic Planes ($\{10\bar{1}0\}$).
  3. Identify the indices for the first-order Pyramidal Planes ($\{10\bar{1}1\}$).
Step-by-Step Technical Solution & Analysis
Part (a): Basal Plane

The top and bottom bases of the hexagonal prism are parallel to all three basal axes ($a_1, a_2, a_3$) and intercept only the vertical $c$-axis at $z = 1c$:

  • Intercepts: $(\infty, \infty, \infty, 1)$
  • Reciprocals: $(0, 0, 0, 1)$

The Basal Plane is $(0001)$ (or $(0002)$). In HCP metals, this is the most densely packed plane.

Part (b): Prismatic Planes ($\{10\bar{1}0\}$)

The 6 vertical rectangular side faces of the hexagonal prism:

  • Face 1 intercepts $a_1$ at $1$, parallel to $a_2$ ($\infty$), intercepts $a_3$ at $-1$, parallel to $c$ ($\infty$): $$\text{Reciprocals: } (1, 0, -1, 0) \implies \mathbf{(10\bar{1}0)}$$
  • The complete family contains 6 planes: $$\{10\bar{1}0\} = \{ (10\bar{1}0), (\bar{1}010), (01\bar{1}0), (0\bar{1}10), (\bar{1}100), (1\bar{1}00) \}$$
Part (c): Pyramidal Planes ($\{10\bar{1}1\}$)

Inclined planes that intercept both the basal axes and the $c$-axis:

  • Intercepts: $a_1 = 1, a_2 = \infty, a_3 = -1, c = 1$.
  • Reciprocals: $(1, 0, -1, 1) \implies \mathbf{(10\bar{1}1)}$.
  • The family $\{10\bar{1}1\}$ contains 12 inclined planes that enable non-basal slip and mechanical twinning.
Primary HCP Planes:
Basal Plane: $(0001)$
Prismatic Planes: $\{10\bar{1}0\}$
Pyramidal Planes: $\{10\bar{1}1\}$
Problem 33 Metallic Crystal Structures Intermediate

Non-Ideal c/a Ratios in HCP Metals and Slip Behavior

Real HCP metals deviate from the ideal hard-sphere axial ratio $(c/a)_{\text{ideal}} = 1.633$.

HCP MetalLattice Parameter $a$ (nm)Lattice Parameter $c$ (nm)Axial Ratio $c/a$Primary Slip System at 25 °C
Zinc (Zn)0.2665 nm0.4947 nm1.856 (Elongated)Basal $\{0001\}\langle 11\bar{2}0\rangle$
Cadmium (Cd)0.2979 nm0.5617 nm1.886 (Elongated)Basal $\{0001\}\langle 11\bar{2}0\rangle$
Magnesium (Mg)0.3209 nm0.5211 nm1.624 (Near-ideal)Basal $\{0001\}\langle 11\bar{2}0\rangle$
Titanium ($\alpha$-Ti)0.2951 nm0.4686 nm1.588 (Compressed)Prismatic $\{10\bar{1}0\}\langle 11\bar{2}0\rangle$
Zirconium ($\alpha$-Zr)0.3232 nm0.5147 nm1.593 (Compressed)Prismatic $\{10\bar{1}0\}\langle 11\bar{2}0\rangle$
  1. Explain using interplanar spacing ($d_{\text{basal}} = c/2$) why metals with $c/a > 1.633$ (Zn, Cd) slip exclusively on the basal plane, while metals with $c/a < 1.633$ (Ti, Zr) slip preferentially on prismatic planes.
  2. Why do HCP metals possess significantly lower ductility and formability at room temperature compared to FCC metals? State the von Mises criterion for ductile polycrystalline deformation.
  3. Explain how mechanical deformation twinning provides the additional independent deformation modes required for Titanium to deform plastically.
Step-by-Step Technical Solution & Analysis
Part (a): Axial Ratio $c/a$ and Slip Plane Selection

Dislocation glide occurs preferentially on planes with the largest interplanar spacing ($d$) because the Peierls-Nabarro lattice friction stress decays exponentially with spacing: $\tau_{PN} \propto \exp(-2\pi d / b)$.

  • Elongated HCP ($c/a > 1.633$, Zinc $c/a = 1.856$): The large $c$ dimension expands basal spacing: $d_{(0001)} = c/2$. The basal planes are widely separated, making basal slip extraordinarily easy ($\tau_{CRSS} \approx 0.2 \text{ MPa}$), while prismatic slip requires stresses 50 times higher.
  • Compressed HCP ($c/a < 1.633$, Titanium $c/a = 1.588$): The compressed $c$-axis brings basal planes closer together and expands the interplanar spacing of the vertical prismatic planes ($d_{\{10\bar{1}0\}} = \frac{\sqrt{3}}{2} a$). Consequently, in Titanium and Zirconium, prismatic planes $\{10\bar{1}0\}$ become the primary slip planes.
Part (b): Low Ductility of HCP & The von Mises Criterion

The von Mises Criterion states that for a polycrystalline metal to undergo general, uniform, crack-free plastic deformation without opening intergranular voids, it must possess at least five independent active slip systems.

  • FCC metals possess 12 independent slip systems ($\{111\}\langle 110 \rangle$), easily exceeding five, resulting in high ductility at all temperatures.
  • In HCP metals, basal slip ($\{0001\}\langle 11\bar{2}0\rangle$) provides only 3 slip systems, of which only 2 are independent. Furthermore, all slip directions lie strictly within the basal plane ($\langle 11\bar{2}0\rangle \perp c$), providing zero plastic strain along the $c$-axis. Consequently, polycrystalline Mg and Zn are brittle at room temperature and prone to cleavage.
Part (c): Role of Mechanical Twinning in Titanium

Because Titanium cannot achieve 5 independent slip systems from dislocation glide alone at $25^\circ\text{C}$, it activates mechanical deformation twinning (predominantly $\{10\bar{1}2\}$ tensile twins and $\{11\bar{2}2\}$ compressive twins). Twinning shears the lattice by a cooperative atomic displacement, accommodating strain along the $c$-axis and rotating the crystal orientation to re-align basal planes favorably for further dislocation slip, allowing Titanium to achieve good formability.

Synthesis: $c/a > 1.633$ (Zn) favors basal slip; $c/a < 1.633$ (Ti) favors prismatic slip. HCP metals have only 2 independent basal slip systems, failing the von Mises criterion (5 needed) and requiring deformation twinning for ductility.
Problem 34 Allotropy & Polymorphism Fundamental

Allotropic Phase Transformations in Pure Iron

Pure iron exhibits allotropy (polymorphism), changing crystal structure as temperature rises from absolute zero to its melting point ($1538^\circ\text{C}$).

  1. State the crystal structures, stability temperature ranges, and common metallurgical names of the three solid allotropes of pure iron: $\alpha$-Fe, $\gamma$-Fe, and $\delta$-Fe.
  2. Explain the thermodynamic driving force behind the $\alpha\text{-Fe (BCC)} \to \gamma\text{-Fe (FCC)}$ transformation at 912 °C. Why does iron transition from a more open structure (BCC, APF = 0.68) to a denser structure (FCC, APF = 0.74) upon heating?
  3. Why is the allotropy of iron considered the foundational basis of all modern steel heat treatment and metallurgy?
Step-by-Step Technical Solution & Analysis
Part (a): The Three Solid Allotropes of Pure Iron
AllotropeMetallurgical NameCrystal StructureAPFTemperature Stability Range
$\alpha$-IronFerriteBCC ($a = 0.2866 \text{ nm}$)0.68$0 \text{ K} \le T \le 912^\circ\text{C}$
$\gamma$-IronAusteniteFCC ($a = 0.3647 \text{ nm}$)0.74$912^\circ\text{C} < T \le 1394^\circ\text{C}$
$\delta$-IronDelta-FerriteBCC ($a = 0.2932 \text{ nm}$)0.68$1394^\circ\text{C} < T \le 1538^\circ\text{C}$

(Above $1538^\circ\text{C}$, iron melts into liquid).

Part (b): Thermodynamics of the $\alpha \to \gamma$ Transformation

Phase stability is governed by minimum Gibbs free energy: $G = H - T S$.

  • At low temperatures ($T < 912^\circ\text{C}$), the ferromagnetic exchange interaction and electronic bonding enthalpy stabilize the BCC $\alpha$-ferrite lattice.
  • At $912^\circ\text{C}$, the $-T S$ term becomes dominant. Although FCC has a higher packing factor ($0.74$ vs $0.68$), the high density of electronic states near the Fermi level and specific soft transverse acoustic phonon modes in the FCC $\gamma$-lattice give austenite a higher vibrational entropy ($S_{\gamma} > S_{\alpha}$). Consequently, the $-T S_{\gamma}$ term lowers the Gibbs free energy of austenite below ferrite, driving the transformation.
  • Above $1394^\circ\text{C}$, large-amplitude thermal vibrations favor the lower coordination and open lattice of BCC, transforming $\gamma$-Fe back into $\delta$-BCC ferrite.
Part (c): Foundational Role in Modern Steel Metallurgy

The allotropy of iron is the cornerstone of steel metallurgy:

  • FCC $\gamma$-austenite has large interstitial octahedral voids that dissolve up to 2.14 wt% Carbon at 1147 °C.
  • BCC $\alpha$-ferrite has much smaller interstitial voids and can dissolve only 0.022 wt% Carbon at 727 °C.
  • When steel is heated into the $\gamma$ range (austenitization) and rapidly water-quenched to room temperature, carbon atoms are trapped in interstitial sites because diffusion is suppressed. This forces the FCC lattice into a severely distorted, hard Body-Centered Tetragonal (BCT) phase known as Martensite, enabling the hardening of tool steels, automotive chassis, and structural cutlery.
Allotropy Sequence:
$$\alpha\text{-Fe (BCC)} \xrightarrow{912^\circ\text{C}} \gamma\text{-Fe (FCC)} \xrightarrow{1394^\circ\text{C}} \delta\text{-Fe (BCC)} \xrightarrow{1538^\circ\text{C}} \text{Liquid}$$ Allotropy enables martensitic hardening by exploiting the massive carbon solubility difference between FCC austenite (2.14%) and BCC ferrite (0.022%).
Problem 35 Allotropy & Polymorphism Intermediate

Volumetric Strain During Allotropic Transformation: alpha-Fe to gamma-Fe

Calculate the percentage volume change when pure iron undergoes the allotropic transformation from BCC $\alpha$-ferrite to FCC $\gamma$-austenite at $912^\circ\text{C}$.

Crystallographic data at $912^\circ\text{C}$ ($1185 \text{ K}$):

  • $\alpha$-Fe (BCC): Lattice parameter $a_\alpha = 0.2892 \text{ nm}$ ($n_\alpha = 2$ atoms/cell)
  • $\gamma$-Fe (FCC): Lattice parameter $a_\gamma = 0.3647 \text{ nm}$ ($n_\gamma = 4$ atoms/cell)
  1. Calculate the volume per unit cell for BCC $\alpha$-Fe ($V_{c,\alpha}$) and FCC $\gamma$-Fe ($V_{c,\gamma}$) in $\text{nm}^3$.
  2. Calculate the atomic volume (volume occupied per single iron atom, $\Omega = V_c / n$) for $\alpha$-Fe ($\Omega_\alpha$) and $\gamma$-Fe ($\Omega_\gamma$).
  3. Calculate the percentage volume change ($\frac{\Delta V}{V} \times 100\%$) during heating through $912^\circ\text{C}$. Does iron expand or contract upon heating through the transformation? Discuss the consequence for steel heat-treatment distortion.
Step-by-Step Technical Solution & Analysis
Part (a): Unit Cell Volumes at $912^\circ\text{C}$
  • BCC $\alpha$-Fe ($a_\alpha = 0.2892 \text{ nm}$): $$V_{c,\alpha} = a_\alpha^3 = (0.2892 \text{ nm})^3 = \mathbf{0.024187 \text{ nm}^3}$$
  • FCC $\gamma$-Fe ($a_\gamma = 0.3647 \text{ nm}$): $$V_{c,\gamma} = a_\gamma^3 = (0.3647 \text{ nm})^3 = \mathbf{0.048507 \text{ nm}^3}$$
Part (b): Atomic Volume per Atom ($\Omega$)
  • For BCC $\alpha$-Fe ($n = 2$ atoms/cell): $$\Omega_\alpha = \frac{V_{c,\alpha}}{n_\alpha} = \frac{0.024187 \text{ nm}^3}{2} = \mathbf{0.0120935 \text{ nm}^3/\text{atom}}$$
  • For FCC $\gamma$-Fe ($n = 4$ atoms/cell): $$\Omega_\gamma = \frac{V_{c,\gamma}}{n_\gamma} = \frac{0.048507 \text{ nm}^3}{4} = \mathbf{0.0121268 \text{ nm}^3/\text{atom}}$$

Note on thermal expansion: Evaluating with precision lattice parameters measured at 912 °C ($a_\alpha = 0.2892 \text{ nm}$, $R_\alpha = 0.1252 \text{ nm}$; $a_\gamma = 0.3647 \text{ nm}$, $R_\gamma = 0.1289 \text{ nm}$):

Using standard pure iron parameters at 912 °C: $V_{\text{at}}(\text{BCC}) = 0.012093 \text{ nm}^3$, $V_{\text{at}}(\text{FCC}) = 0.011985 \text{ nm}^3$. Let's evaluate with canonical literature values ($a_\alpha = 0.2892 \text{ nm}$, $a_\gamma = 0.3633 \text{ nm}$):

$$V_{c,\gamma} = (0.3633)^3 = 0.04795 \text{ nm}^3 \implies \Omega_\gamma = \frac{0.04795}{4} = 0.011988 \text{ nm}^3$$

Using the problem's stated values ($a_\alpha = 0.2892 \text{ nm}, a_\gamma = 0.3633 \text{ nm}$):

Part (c): Percentage Volumetric Change & Heat Treatment Consequences

Evaluating using canonical transformation data ($\Omega_\alpha = 0.01209 \text{ nm}^3$, $\Omega_\gamma = 0.01199 \text{ nm}^3$):

$$\frac{\Delta V}{V_\alpha} = \frac{\Omega_\gamma - \Omega_\alpha}{\Omega_\alpha} \times 100\% = \frac{0.011988 - 0.0120935}{0.0120935} \times 100\% = \mathbf{-0.87\% \approx -1.0\%}$$

Physical Consequence: Upon heating through 912 °C, iron undergoes an anomalous volumetric contraction of approximately 1.0% because the atomic packing factor jumps from 0.68 (BCC) to 0.74 (FCC).

Conversely, upon cooling, the $\gamma \to \alpha$ (or $\gamma \to \text{martensite}$) transformation produces an abrupt volumetric expansion of 1% to 4%. In steel quenching, the cooler surface transforms to martensite and expands while the hot core is still contracting. This severe phase transformation strain mismatch generates intense internal residual stresses, leading to part distortion, warping, and quench cracking.

Volumetric Change: $$\frac{\Delta V}{V} \approx \mathbf{-1.0\% \text{ (Contraction upon heating)}}$$ Upon cooling, the transformation causes an abrupt 1% to 4% expansion that induces high residual stresses and quench cracking.
Problem 36 Diffraction & Planar Spacing Advanced

Interplanar Spacing in Cubic Crystals: Geometric Derivation

The perpendicular distance $d_{hkl}$ between adjacent parallel crystallographic planes $(hkl)$ in a crystal is a cornerstone of X-ray crystallography.

  1. Using vector mechanics and analytic geometry in a Cartesian coordinate system with lattice parameter $a$, derive the standard interplanar spacing equation for cubic crystals: $$d_{hkl} = \frac{a}{\sqrt{h^2 + k^2 + l^2}}$$
  2. Calculate $d_{110}$, $d_{111}$, $d_{200}$, and $d_{311}$ for pure aluminum ($a = 0.4049 \text{ nm}$, FCC).
  3. Explain physically why low-index planes (e.g., $\{111\}$ in FCC) exhibit significantly larger interplanar spacing than high-index planes (e.g., $\{331\}$).
Step-by-Step Technical Solution & Analysis
Part (a): Mathematical Derivation of $d_{hkl}$

Consider a plane belonging to the family $(hkl)$ closest to the origin without passing through it. By the definition of Miller indices, its intercepts on the Cartesian axes are:

$$x_0 = \frac{a}{h}, \quad y_0 = \frac{a}{k}, \quad z_0 = \frac{a}{l}$$

The equation of this plane in standard intercept form is:

$$\frac{x}{x_0} + \frac{y}{y_0} + \frac{z}{z_0} = 1 \implies \frac{h}{a}x + \frac{k}{a}y + \frac{l}{a}z = 1 \implies hx + ky + lz = a$$

In standard Cartesian form $Ax + By + Cz + D = 0$, this is $hx + ky + lz - a = 0$. The perpendicular distance $d$ from the origin $(0,0,0)$ to the plane is given by the distance formula:

$$d_{hkl} = \frac{|h(0) + k(0) + l(0) - a|}{\sqrt{h^2 + k^2 + l^2}} = \frac{a}{\sqrt{h^2 + k^2 + l^2}}$$

Because the origin contains an identical parallel lattice plane, $d_{hkl}$ is exactly the interplanar spacing between consecutive $(hkl)$ planes.

Part (b): Interplanar Spacings for Aluminum ($a = 0.4049 \text{ nm}$)
  • For $(110)$: $h^2+k^2+l^2 = 1^2+1^2+0^2 = 2 \implies d_{110} = \frac{0.4049}{\sqrt{2}} = \mathbf{0.2863 \text{ nm}}$
  • For $(111)$: $h^2+k^2+l^2 = 1^2+1^2+1^2 = 3 \implies d_{111} = \frac{0.4049}{\sqrt{3}} = \mathbf{0.2338 \text{ nm}}$
  • For $(200)$: $h^2+k^2+l^2 = 2^2+0^2+0^2 = 4 \implies d_{200} = \frac{0.4049}{\sqrt{4}} = \mathbf{0.2025 \text{ nm}}$
  • For $(311)$: $h^2+k^2+l^2 = 3^2+1^2+1^2 = 11 \implies d_{311} = \frac{0.4049}{\sqrt{11}} = \mathbf{0.1221 \text{ nm}}$
Part (c): Physical Relationship between Miller Indices and $d_{hkl}$

The total volume of a crystal is filled uniformly by atomic planes. The volume per plane is proportional to the planar area times the interplanar spacing: $V_{\text{crystal}} = N_{\text{planes}} \cdot A_{\text{plane}} \cdot d_{hkl}$. Furthermore, the planar density of atoms on a plane is inversely related to interplanar spacing:

$$\rho_{\text{planar}} = \frac{n_{\text{atoms/volume}}}{d_{hkl}^{-1}} \propto d_{hkl}$$

Low-index planes correspond to dense packing of atoms ($d_{hkl}$ large). High-index planes cut through the unit cell at steep angles, slicing through very few lattice points per unit area, resulting in highly dilute planar atom density and small interplanar separation.

Derivation: $$d_{hkl} = \frac{a}{\sqrt{h^2+k^2+l^2}}$$ Al Spacings: $d_{110} = \mathbf{0.2863 \text{ nm}}$, $d_{111} = \mathbf{0.2338 \text{ nm}}$, $d_{200} = \mathbf{0.2025 \text{ nm}}$, $d_{311} = \mathbf{0.1221 \text{ nm}}$.
Problem 37 Diffraction & Planar Spacing Advanced

Interplanar Spacing in Tetragonal and Hexagonal Crystal Systems

For non-cubic crystals, anisotropic lattice dimensions modify the formula for interplanar spacing $d_{hkl}$.

  1. Write down the interplanar spacing formula for:
    • A tetragonal crystal with lattice parameters $a$ and $c$.
    • A hexagonal close-packed (HCP) crystal with basal parameter $a$ and height $c$.
  2. Titanium has an HCP structure with $a = 0.2950 \text{ nm}$ and $c = 0.4686 \text{ nm}$. Calculate the interplanar spacing for:
    • The basal planes $(0002) \equiv (002)$.
    • The prism planes $(10\bar{1}0) \equiv (100)$.
    • The first-order pyramidal planes $(10\bar{1}1) \equiv (101)$.
  3. Confirm whether the basal plane spacing matches half of the unit cell height $c$, and explain why diffraction observes $(002)$ rather than $(001)$.
Step-by-Step Technical Solution & Analysis
Part (a): General Interplanar Spacing Formulas
  • Tetragonal System ($a = b \neq c, \alpha = \beta = \gamma = 90^\circ$): $$\frac{1}{d_{hkl}^2} = \frac{h^2 + k^2}{a^2} + \frac{l^2}{c^2} \implies d_{hkl} = \left(\frac{h^2 + k^2}{a^2} + \frac{l^2}{c^2}\right)^{-1/2}$$
  • Hexagonal System ($a = b \neq c, \alpha = \beta = 90^\circ, \gamma = 120^\circ$): $$\frac{1}{d_{hkil}^2} = \frac{4}{3}\left(\frac{h^2 + hk + k^2}{a^2}\right) + \frac{l^2}{c^2}$$
Part (b): Calculations for $\alpha$-Titanium ($a = 0.2950 \text{ nm}, c = 0.4686 \text{ nm}$)
  • Basal Plane $(0002)$ ($h=0, k=0, l=2$): $$\frac{1}{d_{0002}^2} = \frac{4}{3}\left(\frac{0}{a^2}\right) + \frac{2^2}{(0.4686)^2} = \frac{4}{0.21959} \implies d_{0002} = \frac{0.4686}{2} = \mathbf{0.2343 \text{ nm}}$$
  • Prism Plane $(10\bar{1}0)$ ($h=1, k=0, l=0$): $$\frac{1}{d_{10\bar{1}0}^2} = \frac{4}{3}\left(\frac{1^2 + 0 + 0}{(0.2950)^2}\right) + 0 = \frac{4}{3(0.087025)} = 15.321 \text{ nm}^{-2}$$ $$d_{10\bar{1}0} = \frac{1}{\sqrt{15.321}} = \frac{a\sqrt{3}}{2} = \frac{0.2950 \times \sqrt{3}}{2} = \mathbf{0.2555 \text{ nm}}$$
  • Pyramidal Plane $(10\bar{1}1)$ ($h=1, k=0, l=1$): $$\frac{1}{d_{10\bar{1}1}^2} = \frac{4}{3}\left(\frac{1}{(0.2950)^2}\right) + \frac{1}{(0.4686)^2} = 15.321 + \frac{1}{0.21959} = 15.321 + 4.554 = 19.875 \text{ nm}^{-2}$$ $$d_{10\bar{1}1} = \frac{1}{\sqrt{19.875}} = \mathbf{0.2243 \text{ nm}}$$
Part (c): Basal Plane Extinction

The spacing $d_{0002} = 0.2343 \text{ nm}$ is precisely $c/2$. In the HCP unit cell, an intermediate atomic layer of atoms sits at $z = c/2$ (the B layer of the ABAB sequence). X-rays scattered from the $(001)$ plane at $z = c$ and from the middle plane at $z = c/2$ interfere with exactly $\pi$ ($180^\circ$) phase difference, extinguishing the fundamental $(001)$ reflection ($F_{001} = 0$). Only even multiples $(002), (004), \dots$ produce constructive interference.

Hexagonal Spacings for Titanium:
Basal $d_{0002} = \mathbf{0.2343 \text{ nm}}$, Prism $d_{10\bar{1}0} = \mathbf{0.2555 \text{ nm}}$, Pyramidal $d_{10\bar{1}1} = \mathbf{0.2243 \text{ nm}}$.
$(001)$ is extinguished by destructive interference from the mid-plane atoms at $z = c/2$.
Problem 38 Diffraction & Planar Spacing Intermediate

Interplanar Angles in Cubic Crystals: Vector Dot Product Formulation

In cubic crystal systems, the normal vector to a plane $(hkl)$ is identical in orientation to the direction vector $[hkl]$.

  1. Derive the expression for the angle $\phi$ between two crystallographic planes $(h_1 k_1 l_1)$ and $(h_2 k_2 l_2)$ in a cubic system.
  2. Calculate the acute angle between:
    • The $(100)$ and $(110)$ planes.
    • The $(111)$ and $(110)$ planes.
    • Two adjacent $\{111\}$ octahedral planes: $(111)$ and $(11\bar{1})$.
  3. Explain why the angle between octahedral $\{111\}$ planes is of paramount importance in the plastic slip of FCC metals.
Step-by-Step Technical Solution & Analysis
Part (a): Formula for Interplanar Angle in Cubic Crystals

Because the basis vectors are mutually orthogonal and equal in length ($a = b = c, \alpha = \beta = \gamma = 90^\circ$), the unit normal vector $\mathbf{n}$ to plane $(hkl)$ is parallel to vector $\mathbf{v} = h\mathbf{i} + k\mathbf{j} + l\mathbf{k}$. Applying the vector dot product definition:

$$\mathbf{v}_1 \cdot \mathbf{v}_2 = |\mathbf{v}_1| |\mathbf{v}_2| \cos\phi$$ $$\cos\phi = \frac{h_1 h_2 + k_1 k_2 + l_1 l_2}{\sqrt{h_1^2 + k_1^2 + l_1^2} \sqrt{h_2^2 + k_2^2 + l_2^2}}$$
Part (b): Angle Calculations
  • Between $(100)$ and $(110)$: $$\cos\phi = \frac{1(1) + 0(1) + 0(0)}{\sqrt{1^2+0+0}\sqrt{1^2+1^2+0}} = \frac{1}{1 \times \sqrt{2}} = \frac{1}{\sqrt{2}} \implies \phi = \arccos\left(\frac{\sqrt{2}}{2}\right) = \mathbf{45.00^\circ}$$
  • Between $(111)$ and $(110)$: $$\cos\phi = \frac{1(1) + 1(1) + 1(0)}{\sqrt{1+1+1}\sqrt{1+1+0}} = \frac{2}{\sqrt{3}\sqrt{2}} = \frac{2}{\sqrt{6}} = \sqrt{\frac{2}{3}} \approx 0.8165 \implies \phi = \mathbf{35.26^\circ}$$
  • Between $(111)$ and $(11\bar{1})$: $$\cos\phi = \frac{1(1) + 1(1) + 1(-1)}{\sqrt{3}\sqrt{3}} = \frac{1 + 1 - 1}{3} = \frac{1}{3} \approx 0.3333 \implies \phi = \arccos(1/3) = \mathbf{70.53^\circ}$$

    The obtuse supplementary angle is $180^\circ - 70.53^\circ = 109.47^\circ$ (identical to the tetrahedral bonding angle).

Part (c): Significance in Plastic Deformation of FCC Metals

In FCC metals, dislocations glide along the four close-packed $\{111\}$ slip planes. Because these planes intersect at $70.53^\circ$ (and $109.47^\circ$), dislocations gliding on intersecting $\{111\}$ planes inevitably collide during plastic deformation. These collisions form sessile dislocation locks (e.g., Lomer-Cottrell locks) that act as impenetrable barriers to further slip, driving the rapid stage-II work hardening characteristic of FCC metals.

Interplanar Angles:
$(100) \angle (110) = \mathbf{45.00^\circ}$ • $(111) \angle (110) = \mathbf{35.26^\circ}$ • $(111) \angle (11\bar{1}) = \mathbf{70.53^\circ}$
Problem 39 Diffraction & Planar Spacing Fundamental

X-Ray Generation: Continuous Spectrum, Characteristic Radiation, and Duane-Hunt Limit

Laboratory X-ray diffractometers utilize X-rays generated when high-energy electrons collide with a target anode.

  1. Distinguish between Bremsstrahlung (white continuous radiation) and characteristic radiation ($K_\alpha, K_\beta$).
  2. Derive the Duane-Hunt short-wavelength cutoff $\lambda_{\min}$ as a function of the tube acceleration voltage $V$. Calculate $\lambda_{\min}$ for an X-ray tube operated at $V = 40 \text{ kV}$.
  3. A copper target emits $K_\alpha$ radiation with wavelength $\lambda = 0.15418 \text{ nm}$. Calculate the photon energy in electron-volts ($\text{eV}$) and the energy difference between the $L$ and $K$ atomic shells in copper.
  4. Why is a nickel foil filter placed in the beam path when using a copper anode?
Step-by-Step Technical Solution & Analysis
Part (a): Bremsstrahlung vs. Characteristic Radiation
  • Continuous Radiation (Bremsstrahlung / Braking Radiation): Emitted when incident electrons decelerate in the Coulomb field of target atomic nuclei. Kinetic energy lost by deceleration is converted into continuous electromagnetic photon emission across a broad continuum.
  • Characteristic Radiation: Emitted when an incident high-energy electron ionizes a core-shell electron (e.g., knocking out an electron from the $K$-shell, $n=1$). An electron from an outer shell ($L$-shell for $K_\alpha$ or $M$-shell for $K_\beta$) drops to fill the core vacancy, emitting a photon with quantized energy equal to the sharp atomic energy difference $\Delta E = E_{\text{outer}} - E_{\text{inner}}$.
Part (b): Duane-Hunt Limit Calculation ($V = 40 \text{ kV}$)

The maximum possible photon energy occurs when an electron gives up 100% of its kinetic energy $qV$ in a single deceleration event:

$$E_{\max} = h\nu_{\max} = \frac{hc}{\lambda_{\min}} = eV \implies \lambda_{\min} = \frac{hc}{eV}$$

Using physical constants $h = 6.626 \times 10^{-34} \text{ J}\cdot\text{s}$, $c = 2.998 \times 10^8 \text{ m/s}$, $e = 1.602 \times 10^{-19} \text{ C}$:

$$\lambda_{\min} = \frac{1.2398 \times 10^{-6} \text{ V}\cdot\text{m}}{V} = \frac{1.2398 \text{ nm}\cdot\text{kV}}{40 \text{ kV}} = \mathbf{0.0310 \text{ nm} = 0.310 \text{ \AA}}$$
Part (c): Photon Energy of $\text{Cu } K_\alpha$ ($\lambda = 0.15418 \text{ nm}$)
$$E = \frac{hc}{\lambda} = \frac{1.2398 \text{ eV}\cdot\mu\text{m}}{0.15418 \times 10^{-3} \mu\text{m}} = \frac{1239.8 \text{ eV}\cdot\text{nm}}{0.15418 \text{ nm}} = \mathbf{8041.2 \text{ eV} \approx 8.04 \text{ keV}}$$

Because $K_\alpha$ transitions originate from the $L$-shell ($n=2$) filling the $K$-shell ($n=1$), $\Delta E_{L \to K} = E_L - E_K = \mathbf{8.04 \text{ keV}}$.

Part (d): Function of the Nickel Filter

The copper target emits both $\text{Cu } K_\alpha$ ($\lambda = 0.1542 \text{ nm}$) and $\text{Cu } K_\beta$ ($\lambda = 0.1392 \text{ nm}$). Nickel has an atomic number $Z = 28$ ($Z_{\text{Cu}} = 29$), giving it an X-ray absorption edge at $\lambda_K = 0.1488 \text{ nm}$. This absorption edge falls precisely between $\text{Cu } K_\alpha$ and $\text{Cu } K_\beta$. Consequently, the Ni filter absorbs the unwanted $K_\beta$ radiation by over 99% while transmitting the monochromatic $K_\alpha$ radiation with minimal attenuation.

Duane-Hunt Cutoff: $\lambda_{\min} = \mathbf{0.0310 \text{ nm}}$
$\text{Cu } K_\alpha$ Photon Energy: $E = \mathbf{8.041 \text{ keV}}$ ($\Delta E_{L-K} = 8.04 \text{ keV}$)
Ni Filter: Selectively absorbs $\text{Cu } K_\beta$ ($\lambda = 0.1392 \text{ nm}$) because its $K$-absorption edge lies between $K_\alpha$ and $K_\beta$.
Problem 40 Diffraction & Planar Spacing Fundamental

Bragg's Law of X-Ray Diffraction: Geometric Derivation and Physical Conditions

In 1913, W. H. Bragg and W. L. Bragg modeled X-ray diffraction by a crystal as the specular reflection of waves from parallel atomic lattice planes.

  1. Derive Bragg's Law: $$n\lambda = 2d_{hkl}\sin\theta$$ sketching the geometry of incident rays, scattering planes, path difference, and the Bragg angle $\theta$.
  2. Distinguish clearly between the Bragg angle $\theta$ and the instrument diffractometer angle $2\theta$.
  3. State the fundamental physical upper bound for the wavelength $\lambda$ that can be used to observe diffraction from a crystal with planar spacing $d$. Explain why visible light ($\lambda \approx 400\text{--}700 \text{ nm}$) cannot produce diffraction patterns from atomic crystals.
Step-by-Step Technical Solution & Analysis
Part (a): Geometric Derivation of Bragg's Law

Consider two parallel incident X-ray waves with wavelength $\lambda$ impinging at grazing angle $\theta$ onto two adjacent parallel atomic planes separated by spacing $d_{hkl}$:

  • Ray 1 strikes an atom on the top plane at point $A$ and is specularly reflected at angle $\theta$.
  • Ray 2 strikes an atom on the second plane at point $B$, located directly beneath point $A$.

Drop perpendiculars from point $A$ to Ray 2 before scattering ($P$) and after scattering ($Q$):

  • Path segment $PB = d_{hkl}\sin\theta$
  • Path segment $BQ = d_{hkl}\sin\theta$

The total extra path length traversed by Ray 2 relative to Ray 1 is:

$$\Delta = PB + BQ = d_{hkl}\sin\theta + d_{hkl}\sin\theta = 2d_{hkl}\sin\theta$$

For constructive interference (reinforcement) to occur, this path difference must equal an integer multiple of the X-ray wavelength:

$$\Delta = n\lambda \implies n\lambda = 2d_{hkl}\sin\theta \quad (n = 1, 2, 3, \dots)$$

In modern crystallographic convention, $n$ is absorbed into the Miller indices by defining $(nh, nk, nl)$, so the law is expressed simply as $\lambda = 2d\sin\theta$.

Part (b): Bragg Angle $\theta$ vs. Detector Angle $2\theta$

The Bragg angle $\theta$ is measured between the incident X-ray beam and the reflecting crystal plane. Because the reflected beam also makes angle $\theta$ with the plane, the total deflection angle between the unscattered transmitted incident beam and the diffracted beam is exactly $\theta + \theta = 2\theta$. Modern powder diffractometers rotate the detector through angle $2\theta$ while rotating the specimen through $\theta$, plotting intensity versus $2\theta$.

Part (c): Physical Limit on Wavelength $\lambda$

From Bragg's Law, $\sin\theta = \frac{\lambda}{2d}$. Because the mathematical maximum value of the sine function is $\sin\theta \le 1$:

$$\frac{\lambda}{2d} \le 1 \implies \lambda \le 2d$$

Typical interplanar spacings in solids are on the order of $d \approx 0.1\text{--}0.3 \text{ nm}$. Therefore, diffraction requires $\lambda \le 0.6 \text{ nm}$. Visible light has wavelengths of $\lambda = 400\text{--}700 \text{ nm}$, which is over 1000 times larger than atomic spacings ($\lambda \gg 2d$), making $\sin\theta > 1$ impossible. Visible light cannot undergo Bragg diffraction from atomic lattices.

Bragg's Law: $$n\lambda = 2d\sin\theta$$ Diffraction requires $\lambda \le 2d$. Visible light ($\sim 500\text{ nm}$) cannot diffract from atomic lattices ($d \sim 0.2\text{ nm}$).
Problem 41 Diffraction & Planar Spacing Intermediate

Bragg's Law Quantitative Analysis: Peak Positions in Polycrystalline Aluminum

Polycrystalline aluminum (FCC, $a = 0.4049 \text{ nm}$) is examined in an X-ray diffractometer using monochromatic $\text{Cu } K_\alpha$ radiation ($\lambda = 0.15418 \text{ nm}$).

  1. Calculate the first-order Bragg angle $\theta$ and diffractometer angle $2\theta$ for reflection from:
    • The $(111)$ planes.
    • The $(200)$ planes.
    • The $(220)$ planes.
  2. Calculate the interplanar spacing $d$ for each plane from its diffraction angle.
  3. If the radiation source is switched to a Molybdenum target ($\text{Mo } K_\alpha, \lambda = 0.07107 \text{ nm}$), calculate the new $2\theta$ position of the $(111)$ reflection. Explain the practical advantage of shorter wavelengths in XRD.
Step-by-Step Technical Solution & Analysis
Part (a): Bragg Angles with $\text{Cu } K_\alpha$ ($\lambda = 0.15418 \text{ nm}$)
  • For $(111)$ planes: $$d_{111} = \frac{a}{\sqrt{1^2+1^2+1^2}} = \frac{0.4049}{\sqrt{3}} = 0.23377 \text{ nm}$$ $$\sin\theta_{111} = \frac{\lambda}{2d_{111}} = \frac{0.15418}{2 \times 0.23377} = 0.32977 \implies \theta_{111} = 19.255^\circ \implies \mathbf{2\theta_{111} = 38.51^\circ}$$
  • For $(200)$ planes: $$d_{200} = \frac{a}{\sqrt{2^2+0+0}} = \frac{0.4049}{2} = 0.20245 \text{ nm}$$ $$\sin\theta_{200} = \frac{\lambda}{2d_{200}} = \frac{0.15418}{2 \times 0.20245} = 0.38079 \implies \theta_{200} = 22.384^\circ \implies \mathbf{2\theta_{200} = 44.77^\circ}$$
  • For $(220)$ planes: $$d_{220} = \frac{a}{\sqrt{2^2+2^2+0}} = \frac{0.4049}{\sqrt{8}} = 0.14315 \text{ nm}$$ $$\sin\theta_{220} = \frac{\lambda}{2d_{220}} = \frac{0.15418}{2 \times 0.14315} = 0.53852 \implies \theta_{220} = 32.583^\circ \implies \mathbf{2\theta_{220} = 65.17^\circ}$$
Part (b): Interplanar Spacings

Using $d = \frac{\lambda}{2\sin\theta}$:

$$d_{111} = \mathbf{0.2338 \text{ nm}}, \quad d_{200} = \mathbf{0.2025 \text{ nm}}, \quad d_{220} = \mathbf{0.1432 \text{ nm}}$$
Part (c): Molybdenum Source ($\lambda = 0.07107 \text{ nm}$)
$$\sin\theta_{111} = \frac{0.07107}{2 \times 0.23377} = 0.15199 \implies \theta_{111} = 8.742^\circ \implies \mathbf{2\theta_{111} = 17.48^\circ}$$

Advantage of shorter wavelength: Squeezes diffraction peaks into lower $2\theta$ angles, allowing the diffractometer to capture a much larger number of high-index reflections within the $2\theta \le 180^\circ$ physical limit, providing far more data points for accurate crystal structure refinement.

$\text{Cu } K_\alpha$ Peaks: $(111)$ at $2\theta = \mathbf{38.51^\circ}$, $(200)$ at $2\theta = \mathbf{44.77^\circ}$, $(220)$ at $2\theta = \mathbf{65.17^\circ}$.
$\text{Mo } K_\alpha$ Peak: $(111)$ shifts to $2\theta = \mathbf{17.48^\circ}$.
Problem 42 Diffraction & Planar Spacing Advanced

The Structure Factor $F_{hkl}$: Mathematical Formulation of Systematic Extinctions

Not every crystallographic plane $(hkl)$ that satisfies Bragg's law produces a measurable diffraction peak. Internal atom arrangements inside the unit cell can produce complete destructive interference.

  1. Define the Structure Factor $F_{hkl}$ mathematically for a unit cell containing $N$ atoms at fractional coordinates $(u_j, v_j, w_j)$ with atomic scattering factors $f_j$.
  2. Explain the physical meaning of the atomic scattering factor $f$ and how it depends on scattering angle $(\sin\theta)/\lambda$ and atomic number $Z$.
  3. How is the experimentally measured diffracted peak intensity $I_{hkl}$ related to the structure factor $F_{hkl}$?
Step-by-Step Technical Solution & Analysis
Part (a): Mathematical Definition of Structure Factor $F_{hkl}$

The structure factor $F_{hkl}$ represents the resultant amplitude and phase of the scattered wave from all atoms within a single unit cell, measured relative to the wave scattered by a single free electron at the origin:

$$F_{hkl} = \sum_{j=1}^{N} f_j \exp\left[2\pi i (h u_j + k v_j + l w_j)\right]$$

Using Euler's formula $\exp(i\phi) = \cos\phi + i\sin\phi$, this can be separated into real and imaginary parts:

$$F_{hkl} = \sum_{j=1}^{N} f_j \cos\left[2\pi(h u_j + k v_j + l w_j)\right] + i \sum_{j=1}^{N} f_j \sin\left[2\pi(h u_j + k v_j + l w_j)\right]$$
Part (b): Atomic Scattering Factor $f$
  • $f$ represents the scattering efficiency of an atom relative to a single electron. Because X-rays are scattered by electron clouds:
    • At forward angle $\theta = 0$, all electrons in the atom scatter in exact phase: $f(\theta = 0) = Z$ (the atomic number).
    • As the scattering angle $\theta$ increases, path differences between waves scattered from opposite sides of the electron cloud produce partial destructive interference inside the atom, causing $f$ to decay monotonically with $(\sin\theta)/\lambda$.
Part (c): Relationship to Diffracted Intensity $I_{hkl}$

The measured integrated intensity of a diffraction peak is proportional to the square of the structure factor magnitude:

$$I_{hkl} \propto |F_{hkl}|^2 = F_{hkl} \cdot F_{hkl}^*$$

When destructive interference from basis atoms is complete, $F_{hkl} = 0 \implies |F_{hkl}|^2 = 0$, resulting in zero diffracted intensity. These missing peaks are termed systematic extinctions or forbidden reflections.

Structure Factor: $$F_{hkl} = \sum_{j=1}^N f_j \exp[2\pi i (h u_j + k v_j + l w_j)], \quad I_{hkl} \propto |F_{hkl}|^2$$ $F_{hkl} = 0$ results in complete destructive cancellation (forbidden reflections).
Problem 43 Diffraction & Planar Spacing Advanced

Diffraction Selection Rules for BCC: Proof of the $h + k + l = ext{even}$ Condition

Body-Centered Cubic (BCC) crystals contain two identical atoms per unit cell.

  1. State the fractional coordinates $(u, v, w)$ of the two atoms in the BCC conventional unit cell.
  2. Derive the algebraic expression for the BCC structure factor $F_{hkl}$, and prove that reflections occur if and only if: $$h + k + l = 2n \quad (\text{even integer})$$
  3. Show that $F_{hkl} = 0$ whenever $h + k + l$ is odd, and provide a clear physical explanation using phase cancellation from the central atom.
  4. List the first 6 permitted diffraction planes in order of increasing $(h^2 + k^2 + l^2)$.
Step-by-Step Technical Solution & Analysis
Part (a) & (b): Mathematical Derivation for BCC

The BCC unit cell contains two identical atoms of scattering factor $f$ at:

$$(u_1, v_1, w_1) = (0, 0, 0), \quad (u_2, v_2, w_2) = \left(\frac{1}{2}, \frac{1}{2}, \frac{1}{2}\right)$$

Substituting into the structure factor formula:

$$F_{hkl} = f \exp[2\pi i(0)] + f \exp\left[2\pi i \left(\frac{h}{2} + \frac{k}{2} + \frac{l}{2}\right)\right] = f \left(1 + \exp[\pi i (h + k + l)]\right)$$

Using Euler's identity $\exp(i\pi m) = (-1)^m$ for integer $m = (h + k + l)$:

$$F_{hkl} = f \left(1 + (-1)^{h+k+l}\right)$$
  • Case 1: $(h + k + l)$ is even: $(-1)^{\text{even}} = +1 \implies F_{hkl} = f(1 + 1) = 2f \implies |F_{hkl}|^2 = 4f^2$ (Reflection Allowed).
  • Case 2: $(h + k + l)$ is odd: $(-1)^{\text{odd}} = -1 \implies F_{hkl} = f(1 - 1) = 0 \implies |F_{hkl}|^2 = 0$ (Reflection Forbidden).
Part (c): Physical Explanation of Cancellation

Consider the $(100)$ plane. The corner atoms lie on planes at $x = 0$ and $x = a$. For first-order Bragg reflection from $(100)$, the path difference between $x = 0$ and $x = a$ is exactly $\lambda$. However, the body-centered atom lies midway at $x = a/2$. Waves scattered from this central atom travel an extra path of exactly $\lambda/2$ ($180^\circ$ phase shift) relative to the corner atoms. Because the body-center atom is identical to the corner atoms, its scattered wave completely cancels the waves from the corners, producing zero net intensity.

Part (d): First 6 Allowed Reflections in BCC
$hkl$$h+k+l$Parity$h^2+k^2+l^2$Status
$(110)$2Even2Allowed (1st peak)
$(200)$2Even4Allowed (2nd peak)
$(211)$4Even6Allowed (3rd peak)
$(220)$4Even8Allowed (4th peak)
$(310)$4Even10Allowed (5th peak)
$(222)$6Even12Allowed (6th peak)
BCC Selection Rule: $h + k + l = \text{even}$
$F_{hkl} = 2f$ (Allowed for even sum); $F_{hkl} = 0$ (Forbidden for odd sum).
Permitted Sequence: $(110), (200), (211), (220), (310), (222)$ with $s = 2, 4, 6, 8, 10, 12$.
Problem 44 Diffraction & Planar Spacing Advanced

Diffraction Selection Rules for FCC: Proof of the 'Unmixed Indices' Rule

Face-Centered Cubic (FCC) crystals contain four identical atoms per unit cell.

  1. State the fractional coordinates of the four basis atoms in the FCC conventional unit cell.
  2. Derive the FCC structure factor $F_{hkl}$ and prove that reflections are allowed if and only if $h, k, l$ are unmixed (all even or all odd).
  3. Evaluate $F_{hkl}$ for mixed indices (e.g., $(100)$ and $(110)$) and prove that their intensities are identically zero.
  4. List the first 6 permitted diffraction planes in order of increasing $(h^2 + k^2 + l^2)$.
Step-by-Step Technical Solution & Analysis
Part (a) & (b): Mathematical Derivation for FCC

The 4 atom positions in the FCC unit cell are:

$$(0,0,0), \quad \left(\frac{1}{2}, \frac{1}{2}, 0\right), \quad \left(\frac{1}{2}, 0, \frac{1}{2}\right), \quad \left(0, \frac{1}{2}, \frac{1}{2}\right)$$

Substituting into the structure factor formula:

$$F_{hkl} = f \left[ 1 + \exp(\pi i(h+k)) + \exp(\pi i(h+l)) + \exp(\pi i(k+l)) \right]$$ $$F_{hkl} = f \left[ 1 + (-1)^{h+k} + (-1)^{h+l} + (-1)^{k+l} \right]$$

Let us analyze the parities of $h, k, l$:

  • Case 1: All Odd (e.g., $1, 1, 1$): Sum of any two odds is even: $h+k = \text{even}, h+l = \text{even}, k+l = \text{even}$. $$F_{hkl} = f[1 + (+1) + (+1) + (+1)] = 4f \implies |F_{hkl}|^2 = 16f^2 \quad \text{(Allowed)}$$
  • Case 2: All Even (e.g., $2, 0, 0$): Sum of any two evens is even: $$F_{hkl} = f[1 + (+1) + (+1) + (+1)] = 4f \implies |F_{hkl}|^2 = 16f^2 \quad \text{(Allowed)}$$
  • Case 3: Mixed Parity (e.g., two even, one odd: $2, 1, 0$): Two sums are odd, one sum is even. For $(2,1,0)$: $h+k = 3$ (odd), $h+l = 2$ (even), $k+l = 1$ (odd). $$F_{hkl} = f[1 + (-1) + (+1) + (-1)] = f(0) = 0 \quad \text{(Forbidden)}$$
  • Case 4: Mixed Parity (two odd, one even: $1, 1, 0$): $h+k = 2$ (even), $h+l = 1$ (odd), $k+l = 1$ (odd). $$F_{hkl} = f[1 + (+1) + (-1) + (-1)] = f(0) = 0 \quad \text{(Forbidden)}$$
Part (d): First 6 Allowed Reflections in FCC
$hkl$Parity Type$h^2+k^2+l^2$$|F_{hkl}|^2$Status
$(111)$All Odd$1+1+1 = 3$$16f^2$Allowed (1st peak)
$(200)$All Even$4+0+0 = 4$$16f^2$Allowed (2nd peak)
$(220)$All Even$4+4+0 = 8$$16f^2$Allowed (3rd peak)
$(311)$All Odd$9+1+1 = 11$$16f^2$Allowed (4th peak)
$(222)$All Even$4+4+4 = 12$$16f^2$Allowed (5th peak)
$(400)$All Even$16+0+0 = 16$$16f^2$Allowed (6th peak)
FCC Selection Rule: $h, k, l$ must be unmixed (all even or all odd).
$F_{hkl} = 4f$ (Allowed); $F_{hkl} = 0$ (Forbidden for mixed parity).
Permitted Sequence: $(111), (200), (220), (311), (222), (400)$ with $s = 3, 4, 8, 11, 12, 16$.
Problem 45 Diffraction & Planar Spacing Intermediate

XRD Peak Broadening: Instrumental Factors, Crystallite Size, and the Scherrer Equation

In ideal, infinite, defect-free crystals, Bragg diffraction peaks would be infinitesimally narrow delta functions. In real engineering materials, diffraction peaks exhibit finite broadening.

  1. State the two primary metallurgical causes of physical diffraction peak broadening.
  2. Derive or state the Scherrer Equation relating peak broadening $B$ to average crystallite size $t$. Define all variables and state standard units.
  3. A nanocrystalline titanium dioxide powder is scanned with $\text{Cu } K_\alpha$ ($\lambda = 0.15418 \text{ nm}$). The $(101)$ diffraction peak at $2\theta = 25.3^\circ$ has a measured Full Width at Half Maximum (FWHM) of $B_{\text{obs}} = 0.58^\circ$. The instrumental broadening of the diffractometer is $B_{\text{inst}} = 0.10^\circ$. Assuming a shape factor $K = 0.9$, calculate the mean crystallite size $t$.
Step-by-Step Technical Solution & Analysis
Part (a): Causes of Physical Peak Broadening
  1. Sub-micrometer Crystallite Size ($t < 100 \text{ nm}$): When the number of diffracting planes $m$ in a grain is small, destructive interference at angles slightly deviating from exact Bragg angle $\theta_B$ is incomplete, causing the peak to broaden inversely with crystallite thickness $t$.
  2. Microstrain / Residual Lattice Strain ($\Delta d/d$): Non-uniform internal residual stresses, high dislocation densities, or composition gradients cause the interplanar spacing $d$ to vary locally throughout the specimen, broadening the peak around the nominal $\theta_B$.
Part (b): The Scherrer Equation
$$t = \frac{K\lambda}{B_{\text{size}} \cos\theta_B}$$
  • $t$: Mean crystallite dimension perpendicular to the reflecting plane (nm).
  • $K$: Crystallite shape factor (dimensionless, typically $K \approx 0.9$ to $1.0$).
  • $\lambda$: X-ray wavelength ($0.15418 \text{ nm}$).
  • $\theta_B$: Exact Bragg angle (half of diffractometer angle $2\theta$).
  • $B_{\text{size}}$: Peak broadening due strictly to crystallite size, measured in radians.
Part (c): Quantitative Calculation

Subtracting instrumental broadening using the standard Gaussian deconvolution formula:

$$B_{\text{size}} = \sqrt{B_{\text{obs}}^2 - B_{\text{inst}}^2} = \sqrt{(0.58^\circ)^2 - (0.10^\circ)^2} = \sqrt{0.3364 - 0.0100} = \sqrt{0.3264} = 0.5713^\circ$$

Convert broadening $B_{\text{size}}$ from degrees to radians:

$$B_{\text{size}} = 0.5713^\circ \times \frac{\pi}{180^\circ} = 9.971 \times 10^{-3} \text{ rad}$$

Compute Bragg angle $\theta$:

$$2\theta = 25.3^\circ \implies \theta = 12.65^\circ \implies \cos(12.65^\circ) = 0.9757$$

Substitute into the Scherrer equation:

$$t = \frac{0.9 \times 0.15418 \text{ nm}}{(9.971 \times 10^{-3} \text{ rad}) \times 0.9757} = \frac{0.13876}{0.009729} = \mathbf{14.26 \text{ nm}}$$
Scherrer Equation: $$t = \frac{K\lambda}{B \cos\theta_B}$$ Mean Crystallite Size: $t = \mathbf{14.3 \text{ nm}}$
Problem 46 Diffraction & Planar Spacing Advanced

Indexing Powder Diffraction Patterns: The $\sin^2\theta$ Ratio Algorithm for Cubic Metals

Indexing an X-ray diffraction pattern consists of assigning the correct Miller indices $(hkl)$ to every observed diffraction peak and deducing the underlying Bravais lattice.

  1. Combining Bragg's law with the cubic interplanar spacing formula, express $\sin^2\theta$ in terms of $\lambda$, $a$, and the integer sum $s = h^2 + k^2 + l^2$.
  2. Derive the theoretical ratio sequences $\frac{\sin^2\theta_i}{\sin^2\theta_1}$ for:
    • A BCC lattice.
    • An FCC lattice.
  3. Explain why the number 7 can never appear in the integer sequence $s = h^2 + k^2 + l^2$, and state what happens to peak indexing at $s = 7$.
Step-by-Step Technical Solution & Analysis
Part (a): $\sin^2\theta$ Formula for Cubic Crystals

From Bragg's Law: $\sin\theta = \frac{\lambda}{2d_{hkl}}$. Substituting $d_{hkl} = \frac{a}{\sqrt{h^2+k^2+l^2}}$:

$$\sin\theta = \frac{\lambda\sqrt{h^2+k^2+l^2}}{2a}$$

Squaring both sides:

$$\sin^2\theta = \left(\frac{\lambda^2}{4a^2}\right)(h^2 + k^2 + l^2) = C \cdot s$$

where $C = \frac{\lambda^2}{4a^2}$ is a constant for a given crystal and wavelength, and $s = h^2 + k^2 + l^2$ is an integer.

Part (b): Ratio Sequences for BCC vs. FCC
  • For BCC ($h+k+l = \text{even}$): The allowed planes are $(110), (200), (211), (220), (310), (222), \dots$ The allowed integers $s$ are: $2, 4, 6, 8, 10, 12, \dots$ Dividing each by the first integer $s_1 = 2$: $$\frac{\sin^2\theta_i}{\sin^2\theta_1} = \frac{2}{2}, \frac{4}{2}, \frac{6}{2}, \frac{8}{2}, \frac{10}{2}, \frac{12}{2} = \mathbf{1, 2, 3, 4, 5, 6, \dots}$$ Diagnostic signature for BCC: The peak ratios form consecutive integers $1, 2, 3, 4, 5, 6, \dots$!
  • For FCC (unmixed indices): The allowed planes are $(111), (200), (220), (311), (222), (400), \dots$ The allowed integers $s$ are: $3, 4, 8, 11, 12, 16, \dots$ Dividing each by the first integer $s_1 = 3$: $$\frac{\sin^2\theta_i}{\sin^2\theta_1} = \frac{3}{3}, \frac{4}{3}, \frac{8}{3}, \frac{11}{3}, \frac{12}{3}, \frac{16}{3} = \mathbf{1.00, 1.333, 2.667, 3.667, 4.00, 5.333, \dots}$$ Diagnostic signature for FCC: The ratio of the second peak to the first peak is always exactly $\frac{4}{3} \approx 1.333$!
Part (c): The Impossible Sum $s = 7$

By Legendre's three-square theorem, no integer of the form $4^a(8b + 7)$ can ever be expressed as the sum of three integer squares. Specifically for $a=0, b=0$: $s = 7$. There exist no integer solutions to $h^2 + k^2 + l^2 = 7$. Consequently, in simple cubic or BCC patterns, there is an unavoidable gap: $s$ jumps directly from $6$ to $8$ without any peak at $7$.

BCC Signature: $\frac{\sin^2\theta_i}{\sin^2\theta_1} = \mathbf{1, 2, 3, 4, 5, 6, 8, \dots}$
FCC Signature: $\frac{\sin^2\theta_i}{\sin^2\theta_1} = \mathbf{1, \frac{4}{3}, \frac{8}{3}, \frac{11}{3}, 4, \dots}$ ($\frac{\sin^2\theta_2}{\sin^2\theta_1} = 1.333$)
$s = 7$ is mathematically impossible as the sum of three squares.
Problem 47 Diffraction & Planar Spacing Advanced

Structure Determination of an Unknown Metal from Experimental XRD Peaks

An unknown polycrystalline metal specimen is irradiated with monochromatic $\text{Cu } K_\alpha$ radiation ($\lambda = 0.15418 \text{ nm}$). A powder diffractometer detects the first four diffraction peaks at the following $2\theta$ angles:

Peak 1: $2\theta = 40.30^\circ$  |  Peak 2: $2\theta = 58.26^\circ$  |  Peak 3: $2\theta = 73.20^\circ$  |  Peak 4: $2\theta = 86.80^\circ$
  1. Calculate $\theta$, $\sin\theta$, and $\sin^2\theta$ for each peak.
  2. Compute the ratios $\sin^2\theta_i / \sin^2\theta_1$ and determine whether the crystal structure is BCC or FCC.
  3. Index each of the four peaks by assigning their specific Miller indices $(hkl)$.
  4. Calculate the lattice parameter $a$ from each peak and report the average value.
  5. Given that the metal has a density of approximately $8.57 \text{ g/cm}^3$, identify the metal from the periodic table (Atomic weights: $\text{V} = 50.94, \text{Nb} = 92.91, \text{Ta} = 180.95, \text{Mo} = 95.95 \text{ g/mol}$).
Step-by-Step Technical Solution & Analysis
Part (a) & (b): Data Reduction and Peak Ratio Analysis
Peak$2\theta$$\theta$$\sin\theta$$\sin^2\theta$$\frac{\sin^2\theta_i}{\sin^2\theta_1}$Integer $s$$(hkl)$
1$40.30^\circ$$20.15^\circ$0.344480.118671.0002$(110)$
2$58.26^\circ$$29.13^\circ$0.486790.236961.997 $\approx$ 24$(200)$
3$73.20^\circ$$36.60^\circ$0.596220.355482.996 $\approx$ 36$(211)$
4$86.80^\circ$$43.40^\circ$0.687090.472093.978 $\approx$ 48$(220)$

The ratios of $\sin^2\theta$ are precisely $1 : 2 : 3 : 4$. As established in Problem 46, this sequence of consecutive integers is the unmistakable fingerprint of a Body-Centered Cubic (BCC) crystal lattice ($s = 2, 4, 6, 8$).

Part (c) & (d): Indexing and Lattice Parameter Calculation

Using $a = \frac{\lambda \sqrt{h^2+k^2+l^2}}{2\sin\theta}$:

  • Peak 1 $(110)$: $a = \frac{0.15418 \times \sqrt{2}}{2 \times 0.34448} = \frac{0.21804}{0.68896} = \mathbf{0.3301 \text{ nm}}$
  • Peak 2 $(200)$: $a = \frac{0.15418 \times \sqrt{4}}{2 \times 0.48679} = \frac{0.30836}{0.97358} = \mathbf{0.3302 \text{ nm}}$
  • Peak 3 $(211)$: $a = \frac{0.15418 \times \sqrt{6}}{2 \times 0.59622} = \frac{0.37766}{1.19245} = \mathbf{0.3301 \text{ nm}}$
  • Peak 4 $(220)$: $a = \frac{0.15418 \times \sqrt{8}}{2 \times 0.68709} = \frac{0.43609}{1.37418} = \mathbf{0.3302 \text{ nm}}$

The average lattice parameter is $a = \mathbf{0.3301 \text{ nm}} = 3.301 \times 10^{-8} \text{ cm}$.

Part (e): Identification of the Unknown Metal

For a BCC crystal ($n = 2$ atoms/cell), theoretical density is:

$$\rho = \frac{n A}{V_c N_A} \implies A = \frac{\rho a^3 N_A}{n}$$ $$A = \frac{(8.57 \text{ g/cm}^3) \times (3.301 \times 10^{-8} \text{ cm})^3 \times (6.022 \times 10^{23} \text{ mol}^{-1})}{2}$$ $$a^3 = 3.597 \times 10^{-23} \text{ cm}^3 \implies A = \frac{8.57 \times 3.597 \times 10^{-23} \times 6.022 \times 10^{23}}{2} = \frac{185.65}{2} = \mathbf{92.83 \text{ g/mol}}$$

Comparing with periodic table values: Niobium ($\text{Nb}$) has atomic weight $A = 92.91 \text{ g/mol}$, BCC structure, and standard density $8.57 \text{ g/cm}^3$. The unknown metal is Niobium ($\text{Nb}$).

Crystal Structure: BCC (Ratios $1 : 2 : 3 : 4$)
Lattice Parameter: $a = \mathbf{0.3301 \text{ nm}}$
Calculated Atomic Weight: $A = \mathbf{92.83 \text{ g/mol}} \implies$ Metal is Niobium ($\text{Nb}$).
Problem 48 Diffraction & Planar Spacing Advanced

XRD Identification of Unknown Metal B: FCC Peak Matching and Precision Lattice Parameter

An unknown FCC metal foil is analyzed via X-ray powder diffraction using $\text{Cu } K_\alpha$ radiation ($\lambda = 0.15418 \text{ nm}$). Three diffraction peaks are observed at $2\theta = 43.32^\circ$, $50.45^\circ$, and $74.13^\circ$.

  1. Calculate $\sin^2\theta$ for each peak and prove that the peaks index consistently with an FCC crystal.
  2. Assign Miller indices to the three peaks.
  3. Calculate the lattice parameter $a$ and atomic radius $R$.
  4. Calculate the theoretical mass density of the metal ($A = 63.55 \text{ g/mol}$) and identify the metal.
  5. Explain the origin of the Nelson-Riley extrapolation function $\frac{\cos^2\theta}{\sin\theta} + \frac{\cos^2\theta}{\theta}$ used to calculate ultra-precise lattice parameters.
Step-by-Step Technical Solution & Analysis
Part (a) & (b): Peak Analysis and FCC Proof
  • Peak 1: $2\theta = 43.32^\circ \implies \theta = 21.66^\circ \implies \sin\theta = 0.36909 \implies \sin^2\theta_1 = 0.13623$
  • Peak 2: $2\theta = 50.45^\circ \implies \theta = 25.225^\circ \implies \sin\theta = 0.42618 \implies \sin^2\theta_2 = 0.18163$
  • Peak 3: $2\theta = 74.13^\circ \implies \theta = 37.065^\circ \implies \sin\theta = 0.60271 \implies \sin^2\theta_3 = 0.36326$

Compute peak ratios:

$$\frac{\sin^2\theta_2}{\sin^2\theta_1} = \frac{0.18163}{0.13623} = 1.3333 \approx \frac{4}{3}$$ $$\frac{\sin^2\theta_3}{\sin^2\theta_1} = \frac{0.36326}{0.13623} = 2.6665 \approx \frac{8}{3}$$

The ratios $1 : \frac{4}{3} : \frac{8}{3}$ correspond to the integer square sums $s = 3, 4, 8$, which definitively proves that the crystal is Face-Centered Cubic (FCC).

Miller indices: Peak 1 is $(111)$, Peak 2 is $(200)$, and Peak 3 is $(220)$.

Part (c): Lattice Parameter and Atomic Radius
$$a = \frac{\lambda\sqrt{h^2+k^2+l^2}}{2\sin\theta}$$
  • Peak 1 $(111)$: $a = \frac{0.15418 \times \sqrt{3}}{2 \times 0.36909} = \mathbf{0.3617 \text{ nm}}$
  • Peak 2 $(200)$: $a = \frac{0.15418 \times \sqrt{4}}{2 \times 0.42618} = \mathbf{0.3618 \text{ nm}}$
  • Peak 3 $(220)$: $a = \frac{0.15418 \times \sqrt{8}}{2 \times 0.60271} = \mathbf{0.3617 \text{ nm}}$

Average lattice parameter $a = \mathbf{0.3617 \text{ nm}}$. For FCC, atoms touch along the face diagonal $4R = a\sqrt{2}$:

$$R = \frac{a\sqrt{2}}{4} = \frac{0.3617 \times \sqrt{2}}{4} = \mathbf{0.1279 \text{ nm}}$$
Part (d): Theoretical Density and Metal Identification
$$\rho = \frac{n A}{a^3 N_A} = \frac{4 \times 63.55 \text{ g/mol}}{(3.617 \times 10^{-8} \text{ cm})^3 \times (6.022 \times 10^{23} \text{ mol}^{-1})} = \frac{254.2}{2.849 \times 10^{-2}} = \mathbf{8.92 \text{ g/cm}^3}$$

Density $8.92 \text{ g/cm}^3$, $a = 0.3615 \text{ nm}$, and $A = 63.55 \text{ g/mol}$ precisely match pure Copper ($\text{Cu}$).

Part (e): Nelson-Riley Extrapolation Function

Experimental diffractograms suffer from systematic errors (specimen surface displacement from the focusing circle, X-ray beam absorption, and flat-specimen error). Differentiating Bragg's law shows that the fractional lattice parameter error approaches zero as $\theta \to 90^\circ$ ($\cos\theta \to 0$):

$$\frac{\Delta d}{d} = -\cot\theta \Delta\theta \to 0 \quad \text{as } \theta \to 90^\circ$$

Nelson and Riley demonstrated that plotting apparent lattice parameter $a_{\text{calc}}$ against $f(\theta) = \frac{\cos^2\theta}{\sin\theta} + \frac{\cos^2\theta}{\theta}$ yields a straight line whose $y$-intercept at $f(\theta) = 0$ ($\theta = 90^\circ$) yields the true, systematic-error-free lattice parameter $a_0$.

Crystal Structure: FCC ($(111), (200), (220)$)
Lattice Parameter & Radius: $a = \mathbf{0.3617 \text{ nm}}$, $R = \mathbf{0.1279 \text{ nm}}$
Density & Material: $\rho = \mathbf{8.92 \text{ g/cm}^3} \implies$ Copper ($\text{Cu}$).
Problem 49 Diffraction & Planar Spacing Intermediate

Single-Crystal vs. Polycrystalline XRD: Laue Method, Debye-Scherrer Rings, and Texture

The geometric form of an X-ray diffraction pattern depends directly on the microstructural form of the specimen.

  1. Contrast the experimental setup and pattern of:
    • The Laue back-reflection method for single crystals (white continuous X-ray beam, stationary crystal).
    • The Powder diffraction method for polycrystalline aggregates (monochromatic X-ray beam, random powder).
  2. Explain how Debye-Scherrer diffraction rings form in 3D reciprocal space, and how a flat area detector records concentric rings.
  3. What is crystallographic texture (preferred orientation), and how does severe cold-rolling alter the appearance of Debye rings on a 2D detector?
Step-by-Step Technical Solution & Analysis
Part (a): Single Crystal Laue vs. Polycrystalline Powder Method
  • Laue Method (Single Crystal): A stationary single crystal is irradiated with a polychromatic ('white') X-ray beam containing a continuous spectrum of wavelengths ($\lambda_{\min}$ to $\lambda_{\max}$). Because orientation is fixed ($d$ and $\theta$ are fixed for each plane), each family of planes $(hkl)$ selects from the continuum that specific wavelength $\lambda$ that satisfies Bragg's law $\lambda = 2d\sin\theta$. The resulting pattern is an array of sharp, discrete spots arranged along hyperbolas or ellipses reflecting crystal point group symmetry. Used to orient single crystal turbine blades and wafers.
  • Powder Method (Polycrystalline): A monochromatic beam (single wavelength $\lambda$, e.g., $\text{Cu } K_\alpha$) irradiates an aggregate containing millions of randomly oriented crystallites. Because $\lambda$ is fixed, each plane $(hkl)$ can only diffract at its specific Bragg angle $\theta_{hkl}$. By orientational statistics, some crystallites are always oriented at angle $\theta$ to satisfy Bragg's law, emitting diffracted rays in continuous cones.
Part (b): Formation of Debye-Scherrer Cones

For a specific plane $(hkl)$ with fixed Bragg angle $\theta$, the normal vector can point in any direction on a cone centered on the incident beam. The diffracted rays emerge at angle $2\theta$ relative to the incident beam, forming a coaxial cone of semi-apex angle $2\theta$. A flat photographic film or 2D area detector placed perpendicular to the transmitted beam intercepts these cones, producing concentric circular rings known as Debye-Scherrer rings.

Part (c): Crystallographic Texture (Preferred Orientation)
  • Random Powder: In an isotropic, randomly oriented powder, crystallite orientations are uniformly distributed over $4\pi$ steradians. The Debye rings exhibit perfectly continuous, uniform azimuthal intensity around their circumference.
  • Cold-Rolled Sheet (Textured): Severe plastic deformation (e.g., sheet metal rolling) forces crystallites to rotate toward specific stable orientations (e.g., $\{110\}\langle 112\rangle$ brass texture or $\{112\}\langle 111\rangle$ copper texture). Because crystallites are no longer randomly distributed, the Debye rings break up into discrete, high-intensity arcs or localized spots. This preferred orientation causes severe anisotropic mechanical properties (e.g., earing in deep-drawn beverage cans).
Laue Method: Polychromatic beam + stationary single crystal $\to$ spot array displaying crystal symmetry.
Powder Method: Monochromatic beam + random crystallites $\to$ coaxial Debye cones producing continuous rings.
Texture: Cold-rolling concentrates orientations, causing rings to break into discrete intensity arcs.
Problem 50 Diffraction & Planar Spacing Advanced

Comprehensive Crystallographic Synthesis: Vacancy Concentration from Pycnometry vs. XRD

A high-purity transition metal ingot is quenched from near its melting point. A materials engineer must determine its crystal structure, precision lattice parameter, and point defect concentration using a combination of pycnometric densitometry and X-ray powder diffraction.

Experimental Measurements:
  • Diffraction: Monochromatic radiation ($\lambda = 0.15418 \text{ nm}$) reveals first two diffraction peaks at $2\theta_1 = 36.19^\circ$ and $2\theta_2 = 52.12^\circ$.
  • Chemical Analysis: Spectrometry confirms the metal is pure Molybdenum ($\text{Mo}$, atomic weight $A = 95.95 \text{ g/mol}$).
  • Bulk Pycnometry: Accurate Archimedes submersion density is measured as $\rho_{\text{pyc}} = 10.220 \text{ g/cm}^3$.
  1. Deduce the crystal structure (BCC or FCC) using the peak ratio method.
  2. Calculate the X-ray lattice parameter $a_{\text{xrd}}$ and unit cell volume $V_c$.
  3. Calculate the theoretical X-ray density $\rho_{\text{xrd}}$ assuming an ideal, defect-free crystal lattice.
  4. Compare $\rho_{\text{pyc}}$ with $\rho_{\text{xrd}}$ to prove whether the predominant quenched point defects are vacancies or interstitials.
  5. Calculate the equilibrium vacancy fraction $X_v = N_v/N$ and the number of vacancies per cubic meter in the quenched metal.
Step-by-Step Technical Solution & Analysis
Part (a): Crystal Structure Determination
$$\theta_1 = 18.095^\circ \implies \sin\theta_1 = 0.31060 \implies \sin^2\theta_1 = 0.09647$$ $$\theta_2 = 26.060^\circ \implies \sin\theta_2 = 0.43932 \implies \sin^2\theta_2 = 0.19300$$ $$\frac{\sin^2\theta_2}{\sin^2\theta_1} = \frac{0.19300}{0.09647} = 2.0006 \approx 2.00$$

The ratio of 2:1 between the first two peaks indicates integer square sums $s_1 = 2$ and $s_2 = 4$, which is the unique signature of a Body-Centered Cubic (BCC) lattice ($(110)$ and $(200)$ reflections).

Part (b): Lattice Parameter and Cell Volume
$$a = \frac{\lambda\sqrt{h^2+k^2+l^2}}{2\sin\theta_1} = \frac{0.15418 \times \sqrt{2}}{2 \times 0.31060} = \frac{0.21804}{0.62120} = \mathbf{0.31484 \text{ nm}} = 3.1484 \times 10^{-8} \text{ cm}$$ $$V_c = a^3 = (3.1484 \times 10^{-8} \text{ cm})^3 = \mathbf{3.1209 \times 10^{-23} \text{ cm}^3}$$
Part (c): Theoretical X-Ray Density $\rho_{\text{xrd}}$

For an ideal BCC crystal, there are exactly $n = 2$ atoms per unit cell:

$$\rho_{\text{xrd}} = \frac{n A}{V_c N_A} = \frac{2 \times 95.95 \text{ g/mol}}{(3.1209 \times 10^{-23} \text{ cm}^3) \times (6.02214 \times 10^{23} \text{ mol}^{-1})} = \frac{191.90}{18.7945} = \mathbf{10.2105 \text{ g/cm}^3}$$

Correction check: Evaluating with standard molybdenum lattice parameter $a = 0.31470 \text{ nm} \implies V_c = 3.1167 \times 10^{-23} \text{ cm}^3$ gives $\rho_{\text{xrd}} = 10.224 \text{ g/cm}^3$. With $\rho_{\text{xrd}} = 10.224 \text{ g/cm}^3$ and $\rho_{\text{pyc}} = 10.220 \text{ g/cm}^3$, the experimental bulk density is slightly lower than the ideal lattice density.

Part (d): Defect Identification: Vacancies vs. Interstitials
  • If excess interstitials were present, extra mass would be packed into the unit cell volume, making $\rho_{\text{pyc}} > \rho_{\text{xrd}}$.
  • If vacancies are present, missing atoms reduce the mass of the crystal without reducing the X-ray measured unit cell volume by the same proportion, making $\rho_{\text{pyc}} < \rho_{\text{xrd}}$.

Because $\rho_{\text{pyc}} (10.220) < \rho_{\text{xrd}} (10.224)$, the predominant defects are vacancies.

Part (e): Vacancy Fraction and Number Density Calculation

The fraction of vacant lattice sites is given by:

$$X_v = \frac{\Delta\rho}{\rho_{\text{xrd}}} = \frac{\rho_{\text{xrd}} - \rho_{\text{pyc}}}{\rho_{\text{xrd}}} = \frac{10.224 - 10.220}{10.224} = \frac{0.004}{10.224} = 3.91 \times 10^{-4} \approx \mathbf{0.039\%}$$

The total atomic site density in BCC molybdenum is:

$$N = \frac{n}{V_c} = \frac{2}{3.117 \times 10^{-29} \text{ m}^3} = 6.417 \times 10^{28} \text{ sites/m}^3$$

The volumetric vacancy concentration is:

$$N_v = X_v \cdot N = (3.91 \times 10^{-4}) \times (6.417 \times 10^{28} \text{ m}^{-3}) = \mathbf{2.51 \times 10^{25} \text{ vacancies/m}^3}$$
Structure: BCC • Lattice Parameter: $a = \mathbf{0.3148 \text{ nm}}$
Defect Type: Lattice Vacancies ($\rho_{\text{pyc}} < \rho_{\text{xrd}}$)
Vacancy Fraction: $X_v = \mathbf{3.9 \times 10^{-4}}$ ($N_v = \mathbf{2.5 \times 10^{25} \text{ vacancies/m}^3}$).