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21-Mat-A4 Deformation Behaviour and Properties of Materials · December 2017

Question 6 of 7: Diffusion and Grain Boundaries

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

Notes on this paper

Paper format. National Exams, December 2017 — 10-Met-A4, Structure of Materials. Three hours, closed book, one approved calculator (Casio or Sharp). Seven questions of 20 marks each (Roman numerals I–VII); the rubric asks for any five, with only the first five in the answer book marked. All seven are solved here, because this set is a study resource rather than an exam script. All necessary equations, constants and an error-function table are provided in the exam's own appendix (reproduced where used below).

Note on the exam title. The printed exam header reads 10-Met-A4, Structure of Materials. Only parts of Question VI (grain-size strengthening) touch mechanical properties directly; the paper as a whole is a broad introductory materials-science survey — electron structure, bonding, crystal structure, crystallographic planes, solid solubility, XRD, diffusion 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 VI: Diffusion and Grain Boundaries (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.

VI.1 — Carburizing Time (Semi-Infinite Diffusion)

Given.

QuantitySymbolValue
Initial (bulk) carbon content$C_0$0.25 wt%
Surface carbon content (maintained)$C_s$1.20 wt%
Target carbon content$C_x$0.80 wt%
Depth below surface$x$0.5 mm $=5\times10^{-4}$ m
Diffusion coefficient at 950°C$D$$1.6\times10^{-11}$ m²/s

Find. The carburizing time $t$.

Approach. Apply the semi-infinite solid diffusion solution $\dfrac{C_s-C_x}{C_s-C_0}=\text{erf}\!\left(\dfrac{x}{2\sqrt{Dt}}\right)$ (appendix), read the inverse error function off the appendix's error-function table by interpolation, then solve for $t$.

  1. Target error-function value. $$\frac{C_s-C_x}{C_s-C_0}=\frac{1.20-0.80}{1.20-0.25}=\frac{0.40}{0.95}=\boxed{0.4211}$$
  2. Invert via the appendix erf table. The table gives $\text{erf}(0.35)=0.3794$ and $\text{erf}(0.40)=0.4284$; linearly interpolating for $\text{erf}(z)=0.4211$: $$z=0.35+0.05\left(\frac{0.4211-0.3794}{0.4284-0.3794}\right)=0.35+0.05(0.851)=\boxed{z=0.3925}$$
  3. Solve for $t$. With $z=x/(2\sqrt{Dt})$: $$\sqrt{Dt}=\frac{x}{2z}=\frac{5\times10^{-4}}{2(0.3925)}=6.369\times10^{-4}\ \text{m}\ \Rightarrow\ Dt=4.055\times10^{-7}\ \text{m}^2$$ $$t=\frac{4.055\times10^{-7}}{1.6\times10^{-11}}=\boxed{2.536\times10^{4}\ \text{s} = 7.04\ \text{hours}}$$
Question VI.1 — summary
QuantityResult
Interpolated $z=x/(2\sqrt{Dt})$0.3925
Carburizing time $t$25{,}356 s ≈ 7.04 hours

VI.2 — FCC vs. HCP Ductility and Their Slip Systems

FCC is markedly more ductile than HCP under general loading. Ductility by slip requires a sufficient number of independent, easily-activated slip systems (slip plane × slip direction combinations) so that an arbitrary imposed strain can be accommodated by some combination of them (the von Mises criterion requires 5 independent systems for arbitrary polycrystal deformation without cracking). FCC slips on its close-packed $\{111\}$ planes along close-packed $\langle110\rangle$ directions, giving $4\times3=12$ slip systems, comfortably exceeding the von Mises minimum — FCC metals (Cu, Al, Ni, austenitic stainless steel) are reliably ductile at all temperatures. HCP slips most easily only on its single close-packed basal $(0001)$ plane along $\langle11\bar20\rangle$ directions, giving only $1\times3=3$ independent easy slip systems (well below 5); additional non-basal (prismatic, pyramidal) systems exist but require substantially higher stress to activate. HCP metals (Mg, Zn, Ti at room temperature) are consequently far more prone to brittle behaviour and limited formability than FCC metals of comparable bonding.

VI.3(a) — Percentage Decrease in Yield Strength on Annealing

Given. Hall–Petch relation $\sigma_y=\sigma_i+k_yd^{-1/2}$ with $\sigma_i=3$ MPa, $k_y=0.5\ \text{MPa}\cdot\text{m}^{1/2}$; grain size $d_1=4\ \mu\text{m}$ (as-received) → $d_2=104\ \mu\text{m}$ (annealed).

Find. The percentage decrease in yield strength caused by the grain growth.

  1. Yield strength before annealing ($d_1=4\ \mu\text{m}=4\times10^{-6}$ m). $$\sigma_{y1}=3+0.5\left(4\times10^{-6}\right)^{-1/2}=3+0.5(500)=\boxed{253.0\ \text{MPa}}$$
  2. Yield strength after annealing ($d_2=104\ \mu\text{m}=104\times10^{-6}$ m). $$\sigma_{y2}=3+0.5\left(104\times10^{-6}\right)^{-1/2}=3+0.5(98.06)=\boxed{52.03\ \text{MPa}}$$
  3. Percentage decrease. $$\%\,\text{decrease}=\frac{\sigma_{y1}-\sigma_{y2}}{\sigma_{y1}}\times100\%=\frac{253.0-52.03}{253.0}\times100\%=\boxed{79.44\%}$$

VI.3(b) — Time for the Grain-Growth Anneal

Given. $d^n-d_0^n=Kt$ with $n=4$, $K=4.4\ \mu\text{m}^4\text{s}^{-1}$, $d_0=4\ \mu\text{m}$, $d=104\ \mu\text{m}$.

  1. Solve for $t$. $$t=\frac{d^4-d_0^4}{K}=\frac{104^4-4^4}{4.4}=\frac{116{,}985{,}856-256}{4.4}=\boxed{2.659\times10^{7}\ \text{s}}$$ $$t=2.659\times10^{7}\ \text{s}\times\frac{1\ \text{hr}}{3600\ \text{s}}=\boxed{7{,}385\ \text{hours}\approx308\ \text{days}}$$
Question VI.3 — summary
QuantityResult
$\sigma_{y1}$ (as-received, $d=4\,\mu$m)253.0 MPa
$\sigma_{y2}$ (annealed, $d=104\,\mu$m)52.03 MPa
Decrease in yield strength79.44%
Annealing time $t$$2.659\times10^{7}$ s ≈ 308 days
Check
The fourth-power grain-growth law, applied literally over such a large grain-size ratio ($104/4=26\times$), returns an annealing time of order months (∼308 days) rather than a typical shop-floor anneal (minutes to hours). This is a direct, honest consequence of the stated $n=4$ and $K$ values applied over the full stated size range; a real industrial anneal achieving this much grain growth would normally use a substantially higher $K$ (a strong function of temperature via $K=K_0\exp(-Q/RT)$, not supplied here) or a shorter target grain size. The number is reported as computed from the given data, per the exam's own "state your assumptions" policy.