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21-Mat-A4 Deformation Behaviour and Properties of Materials · May 2013

Question 4 of 8: Diffusion (20 marks)

Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)

Notes on this paper

Paper format. National Exams, May 2013 — 10-Met-A4, Structure of Materials. Three hours, closed book, one approved calculator (Casio or Sharp). Eight questions of 20 marks each; the rubric asks for any five, and only the first five in the answer book are marked. All eight are solved here, because this set is a study resource rather than an exam script. All necessary constants and equations are provided in the exam's own appendix; standard SI values (Planck's constant, electron mass, Avogadro's number) are used below and are noted where that happens.

The printed exam header reads 10-Met-A4, Structure of Materials. Two of the eight questions (V and VI) are genuinely deformation/mechanical-properties questions, but the paper as a whole is a broad introductory materials-science survey — bonding, crystallography, defects, diffusion, dislocations, XRD and phase diagrams — and is answered as such below.

Reference texts. The answers below are keyed to the works normally recommended for this syllabus code:


Question IV — Diffusion (20 marks)

Question text not reproduced: the examination questions are © Engineers and Geoscientists BC. Open the official past paper (linked at the top of this page) to read the question, then follow the worked solution below.

IV.1 — Diffusion flux, direction, and temperature dependence

(a) Diffusion flux $J$ is the mass (or number) of atoms crossing a unit cross-sectional area per unit time, $J = \frac{1}{A}\frac{dM}{dt}$, with SI units $\text{kg}/(\text{m}^2\cdot\text{s})$ or $\text{atoms}/(\text{m}^2\cdot\text{s})$. Fick's first law states that the flux is proportional to, and driven by, the local concentration gradient: $$J = -D\frac{dC}{dx}$$ where $D$ is the diffusion coefficient and $dC/dx$ is the concentration gradient along the diffusion direction. The negative sign is essential: it makes $J$ point down the gradient.

(b) Diffusion proceeds from regions of high concentration to regions of low concentration (down the gradient), never the reverse under a purely diffusive (non-driven) process. This follows directly from the negative sign in Fick's first law and, more fundamentally, from the second law of thermodynamics: random atomic jumps are equally likely in every direction, but because there are simply more atoms available to jump away from a high-concentration region than into it, the net flux is always down-gradient, which increases the system's configurational entropy (mixing) until the concentration is uniform.

(c) The diffusion rate increases with temperature, because $D$ follows an Arrhenius relation: $$D = D_0\exp\!\left(-\frac{Q_d}{RT}\right)$$ where $Q_d$ is the activation energy for the diffusion mechanism (e.g. vacancy migration) and $R$ is the gas constant. Higher $T$ exponentially increases the fraction of atoms with enough thermal energy to jump over the local energy barrier $Q_d$, so $D$ — and hence the flux for a given gradient — rises sharply with temperature.

IV.2 — Carburizing time at 900°C and 1050°C

Given.

Given data — carburizing problem
QuantityValue
Surface carbon content, $C_s$1.00 wt%
Initial (bulk) carbon content, $C_0$0.20 wt%
Target carbon content, $C_x$, at depth $x$0.60 wt%
Depth, $x$0.75 mm $=7.5\times10^{-4}$ m
$D_0$ (carbon in γ-Fe)$5\times10^{-5}\ \text{m}^2/\text{s}$
Activation energy, $Q_d$284 kJ/mol

Find. The carburizing time at 900°C and at 1050°C.

Approach. Use the constant-surface-concentration solution of Fick's second law to find the dimensionless argument $Z$ from the given concentrations, look up $Z$ via the supplied error-function table, compute $D$ at each temperature from the Arrhenius relation, then solve $Z=x/(2\sqrt{Dt})$ for $t$.

  1. Set up the error-function solution. $$\frac{C_s-C_x}{C_s-C_0} = \text{erf}\!\left(\frac{x}{2\sqrt{Dt}}\right) = \text{erf}(Z)$$ $$\frac{1.00-0.60}{1.00-0.20} = \frac{0.40}{0.80} = 0.500$$
  2. Find $Z$ from the supplied erf table. The table brackets $\text{erf}(Z)=0.500$ between $Z=0.45$ ($\text{erf}=0.4755$) and $Z=0.50$ ($\text{erf}=0.5205$); linear interpolation gives $$Z = 0.45 + (0.50-0.45)\cdot\frac{0.500-0.4755}{0.5205-0.4755} = \boxed{0.4772}$$
  3. Diffusivity at each temperature (Arrhenius). $T_{900} = 1173\ \text{K}$, $T_{1050}=1323\ \text{K}$, $R=8.314\ \text{J/(mol}\cdot\text{K)}$: $$D_{900} = (5\times10^{-5})\exp\!\left(\frac{-284000}{(8.314)(1173)}\right) = \boxed{1.13\times10^{-17}\ \text{m}^2/\text{s}}$$ $$D_{1050} = (5\times10^{-5})\exp\!\left(\frac{-284000}{(8.314)(1323)}\right) = \boxed{3.07\times10^{-16}\ \text{m}^2/\text{s}}$$
  4. Solve for time. From $Z=x/(2\sqrt{Dt})$, $t = x^2/(4DZ^2)$, with $x^2 = (7.5\times10^{-4})^2 = 5.625\times10^{-7}\ \text{m}^2$ and $Z^2 = 0.2277$: $$t_{900} = \frac{5.625\times10^{-7}}{4(1.13\times10^{-17})(0.2277)} = 5.46\times10^{10}\ \text{s} \approx \boxed{1732\ \text{years}}$$ $$t_{1050} = \frac{5.625\times10^{-7}}{4(3.07\times10^{-16})(0.2277)} = 2.01\times10^{9}\ \text{s} \approx \boxed{63.8\ \text{years}}$$

Check. These times follow directly and consistently from the exam's own stated $D_0$ and $Q_d$, but they are far larger than a real carburizing treatment (hours, not decades). The supplied $Q_d=284\ \text{kJ/mol}$ matches published values for iron self-diffusion in γ-Fe, not for interstitial carbon diffusion in γ-Fe (textbook values for C in γ-Fe are typically $Q_d\approx148\ \text{kJ/mol}$, $D_0\approx2.3\times10^{-5}\ \text{m}^2/\text{s}$, which would give hour-scale times). The calculation above is carried through exactly as instructed on the exam's own given data; the magnitude is flagged here rather than silently smoothed over, per the "state your assumptions" instruction on the paper's cover page.

Question IV.2 — final results
QuantityValue
$Z$0.4772
$D$ at 900 °C$1.13\times10^{-17}$ m²/s
$D$ at 1050 °C$3.07\times10^{-16}$ m²/s
Time at 900 °C$5.46\times10^{10}$ s ($\approx$1732 yr)
Time at 1050 °C$2.01\times10^{9}$ s ($\approx$63.8 yr)