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Question 3.1: A steel plate (α = 10^−5 m²/s), initially at 30 C, is subjec......

A steel plate (α = 10^{−5} m²/s), initially at 30 C, is subject at x = 0 to a surface temperature as given by Eq. (3.17), starting at time zero, with p = 1 (linear-in-time increase) and a heating rate of s_T = (T_0 − T_{in})/tref = 20 °C/s. The plate is insulated on the back side x = L = 5 cm. Calculate the temperature at 1 cm inside the flat plate at times 1, 2, and 3 seconds by using Eq. (3.12). Then, compare it with the exact values coming from the exact analytical solution defined in Section 2.3.7.

T_{0}(t)=T_{i n}+(T_{0}-T_{i n})\biggl({\frac{t}{t_{r e f}}}\biggr)^{P}=T_{i n}+s_{T}t^{p}~~~(t\geq0) Eq. (3.17)

T(x,\,t_{M})=T_{M}(x)=T_{i n}+\,\sum\limits_{i=1}^{M}T_{i,M}(x)=T_{i n}+\,\sum\limits_{i=1}^{M}\theta_{0,i}\Delta\varphi_{x,M-i}      (3.12)

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The temperature at the interior point of interest x_P = 1\ cm  is  T(x_P,t) and increases with time. If the piecewise-constant approximation of the applied surface temperature is based on a time step Δt = 1 s, by using Eq. (3.12) the temperatures at t = 1, 2, and 3 seconds are given, respectively, by

T_{1}(x_{P})=T_{i n}+\theta_{0,1}\varphi_{1}(\tilde{x}_{P})=30.253473\ ^{\circ}\mathrm{C} (3.19a)

T_{2}(x_{P})=T_{i n}+\theta_{0,1}[\varphi_{2}(\tilde{x}_{P})-\varphi_{1}(\tilde{x}_{P})]+\theta_{0,2}\varphi_{1}(\tilde{x}_{P})=31.645409^{\circ}\mathrm{C} (3.19b)

T_{3}(x_{P})=T_{i n}+\theta_{0,1}[\varphi_{3}(\tilde{x}_{P})-\varphi_{2}(\tilde{x}_{P})]

+\,\theta_{0,2}[\varphi_{2}(\tilde{x}_{P})-\varphi_{1}(\tilde{x}_{P})]+\theta_{0,3}\varphi_{1}(\tilde{x}_{P})=34.750928^{\circ}\,\mathrm{C} (3.19c)

where \varphi_{M}(\tilde{x}_{P})=\tilde{T}_{\mathrm{X12B10T0}}(\tilde{x}_{P},M\Delta\tilde{t}), with M = 1, 2 or 3. Also, \tilde{x}_{P}=x_{P}/L=0.2,\,\Delta\tilde{t}=\alpha\Delta t/L^{2} = 0.004, and the first six decimal-places have been considered for the building block solution (A = 6). The exact temperatures can be obtained from the fdX12B20T0.m MATLAB function of Section 2.3.7 as the current problem can be denoted by X12B20T1, where “2” in B20 indicates a linear-in-time variation of the surface temperature. They are

T(x_{P}=1\ \mathrm{cm},\ \Delta t=1\ {\mathrm{s}})=T_{i n}+\underbrace{\tilde{t}_{r e f}\tilde{T}(\tilde{x}_{P}=0.2,\,\Delta\tilde{t}=0.004,\tilde{t}_{r e f}=1,A=15\Big)}_{=\operatorname{fdX12B20T0}(0.2,\,0.004,\,1,\,15)}

\times\underbrace{\frac{(T_{0}-T_{i n})}{t_{r e f}}}_{s_{T}=20^{°}{\mathrm{C}}\ s^{-1}} \biggl(\frac{L^{2}}{\alpha}\biggr)=30.112681^{\circ}{\mathrm{C}} (3.20a)

T(x_{P}=1\ \mathrm{cm},\ 2\Delta t=2\ {\mathrm{s}})=T_{i n}+\underbrace{\tilde{t}_{r e f}\tilde{T}(\tilde{x}_{P}=0.2,\,2\Delta\tilde{t}=0.008,\tilde{t}_{r e f}=1,A=15\Big)}_{=\operatorname{fdX12B20T0}(0.2,\,0.004,\,1,\,15)}

\times\frac{(T_{0}-T_{i n})}{t_{r e f}}(\frac{L^{2}}{\alpha})=31.480690^{\circ}{\mathrm{C}} (3.20b)

T(x_{P}=1\ \mathrm{cm},\ 3\Delta t=3\ {\mathrm{s}})=T_{i n}+\underbrace{\tilde{t}_{r e f}\tilde{T}(\tilde{x}_{P}=0.2,\,3\Delta\tilde{t}=0.012,\tilde{t}_{r e f}=1,A=15\Big)}_{=\operatorname{fdX12B20T0}(0.2,\,0.004,\,1,\,15)}

\times\frac{(T_{0}-T_{i n})}{t_{r e f}}(\frac{L^{2}}{\alpha})=34.613044^{\circ}{\mathrm{C}} (3.20c)

where \tilde{t}_{r e f}\tilde{T} is independent of \tilde{t}_{r e f} (see Section 2.3.7). For this reason, the simple numerical value of \tilde{t}_{r e f} = 1 can be chosen. Also, an accuracy of one part in 10^{15} is chosen (A=15) in such a way as the computational analytical solution can be considered in every practical respect as exact (see Section 2.3.5.1).

Hence, the absolute errors in the approximate temperatures are +0.140792, +0.164719, and +0.137884 C, respectively. If these errors are normalized relatively to the maximum temperature rises that occur at the boundary surface x = 0 up to and including the time of evaluation (i.e. 20, 40 and 60 °C, at t = 1, 2 and 3 seconds, respectively), they are: 0.7, 0.41, and 0.23%, respectively.
The above errors can be reduced if shorter time steps are chosen, as shown in Table 3.1, where the temperatures ( °C) are obtained by using the fdX12B_0T0_pca.m function and the following equation that relates the dimensional and dimensionless temperatures:

T(x_{P},\,t_{M})=T_{i n}+\underbrace{ \tilde{T}(\tilde{x}_{P},\,\tilde{t}_{M},\,P,\,A,\,M)}_{=\mathrm{fd}X12\mathrm{B}_{-}O\mathrm{TO}_{-}\mathrm{pca}}\times s_{T}\left(\frac{L^{2}}{\alpha}\right)^{P} (3.21)

where \tilde{x}_{P}=x_{P}/L=0.2,\tilde{t}_{M}=M\Delta\tilde{t},\;\Delta\tilde{t}=\alpha\Delta t/L^{2}=0.004,\,P=1,\;\mathrm{and}\;A=6.. Note that, when using Δt = 0.1 s, the first two decimal places of the approximate temperatures are the same as the ones of the exact temperatures being the underlined digits different, as shown by Table 3.1.

Table 3.1 Comparison of exact and approximate temperatures for three different time steps using the piecewise-constant approximation (fdX12B_0T0_pca.m) at x_p = 1 cm.
t, s Exact temperature, °C Approximate temperature, °C
Δt =1 s M Δt = 0.25 s M Δt = 0.1 s M
1 30.11268 30.25347 1 30.1{\underline{{20350}}} 4 30.11{\underline{{3902}}} 10
2 31.48069 31.64541 2 31.4{\underline{{90126}}} 8 31.48{\underline{{2196}}} 20
3 34.61304 34.75093 3 34.6{\underline{{20836}}} 12 34.61{\underline{{4287}}} 30

 

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