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Question 3.6: A steel plate (α = 10−5 m²/s), initially at 20 °C, is subjec......

A steel plate (α = 10^{−5} m²/s), initially at 20 °C, is subject at x = 0 to a surface heat flux as given by Eq. (3.50), starting at time zero, with p = 2 (quadratic-in-time increase) and s_q = q_0/t_{ref}^2 = 10^5 W/m²/s². The plate is insulated on the back side x=L= 5 cm. Calculate the temperature at 1.25 cm inside the flat plate at times 5 and 10 seconds by using the fdX22B_0T0_pla.m MATLAB function and choosing five different time steps, that is, Δt = 5, 1, 0.1, 0.01 and 0.001 s.

Then, compare it with the approximate values coming from the fdX22B_0T0_pca.m function of Section 3.4.1.4 (piecewise-constant approximation) and with the exact values coming from the exact analytical solution given by Beck et al. (2008; see Eq. (25c), p. 2560).

q_{0}(t)=q_{0}\biggl({\frac{t}{t_{ref}}}\biggr)^{p}=s_{q}t^{p}\quad(t\geq0) (3.50)

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The current problem can be denoted by X22B30T1, where “3” in B30 indicates a power-in-time variation of the surface temperature (see Table A.3 in Appendix A). The temperature at the interior point of interest x_P = 1.25 cm is T(x_P, t) and increases with time. By using the fdX22B_0T0_pca.m and fdX22B_0T0_pla.m functions, approximate values of temperature are obtained at times 5 and 10 seconds and shown in Table 3.5. where the temperatures in units of C are obtained by using Eq. (3.53)

T(x_{P},t_{M})=T_{i n}+\underbrace{{\tilde{T}}({\tilde{x}}_{P},{\tilde{t}}_{M},p,A,M)}_{={\mathrm{fd}}X22B_{-}0T0_{-}\mathrm{pca}} \times s_q(\frac{L}{K} )(\frac{L^2}{\alpha } )^p (3.53)

for p = 2 of Example 3.4. The exact temperatures can be obtained by using the exact analytical solution given by Beck et al. (2008) in dimensionless form and setting an accuracy of one part in 10^{15} (A = 15) when truncating the infinite series-solution. This accuracy allows the computational analytical solution to be considered as exact. The solution is

\tilde{T}(\tilde{x},\tilde{t},\tilde{t}_{r e f})=\frac{1}{\tilde{t}_{r e f}^{2}}[\frac{\tilde{t}^{3}}{3}+\left(\frac{\tilde{x}}{2}^2-\tilde{x}+\frac{1}{3}\right)\tilde{t}^{2}+\left(\frac{\tilde{x}^{4}}{12}-\frac{\tilde{x}^{3}}{3}+\frac{\tilde{x}^{2}}{3}-\frac{2}{45}\right)\tilde{t}

+\,\left(\frac{\tilde{x}^{6}}{360}-\frac{\tilde{x}^{5}}{60}+\frac{\tilde{x}^{4}}{36}-\frac{\tilde{x}^{2}}{45}+\frac{4}{945}\right)\biggr]-\,\frac{4}{\tilde{t}_{r e f}^{2}}\sum_{m=1}^{\infty}\frac{e^{-(m\pi)^{2}\tilde{t}}}{(m\pi)^{6}}\cos{\left(m\pi\tilde{x}\right)} (3.67)

where \tilde{x}=x/L,{\tilde{t}}=\alpha t/L^{2}\;\mathrm{and}\;\tilde{T}=(T-T_{i n})/(q_{0}L/k). Also, \tilde{t}_{r e f}=\alpha t_{r e f}/L^{2}.

The exact values of temperature are

T(x_{P}=1.25\,{\mathrm{cm}},\,t=5\,{\mathrm{s}})=T_{i n}+\frac{L}{k}\underbrace{\tilde{t}_{r e f}^{2}\tilde{T}(\tilde{x}_{P}=0.25,\ \tilde{t}=0.02,\tilde{t}_{r e f},A=15)}_{=1.160460209707701\mathrm{{e}}-06}

×\underbrace{(\frac{q_{0}}{t_{r e f}^{2}})}_{{S_{q}=10^{5}\ W\ m^{-2}\ s^{-2}}}(\frac{L^2}{\alpha })^2= 29.06609539 °C (3.68a)

T(x_{P}=1.25\,{\mathrm{cm}},\,t=10\,{\mathrm{s}})=T_{i n}+\frac{L}{k}\underbrace{\tilde{t}_{r e f}^{2}\tilde{T}(\tilde{x}_{P}=0.25,\ \tilde{t}=0.04,\tilde{t}_{r e f},A=15)}_{=1.160460209707701\mathrm{{e}}-06}

×\underbrace{(\frac{q_{0}}{t_{r e f}^{2}})}_{{S_{q}=10^{5}\ W\ m^{-2}\ s^{-2}}}(\frac{L^2}{\alpha })^2= 171.89823623 °C (3.68b)

where {\tilde{t}}_{ref}^{2}{\tilde{T}} is independent of {\tilde{t}}_{ref} , as shown by Eq. (3.67).

These temperatures are given in Table 3.5 for visual comparison where the different digits of the approximate temperatures with respect to the exact ones are underlined. Note that, when dealing with the piecewise-constant approximation and a time step of 0.001 seconds, the first six decimal-places of the approximate temperature are the same as the ones of the exact temperature for both times 5 and 10 seconds. In this case, the absolute errors in the approximate temperatures are +0.00000021 °C and +0.00000061 °C at times 5 and 10 seconds, respectively. By using the piecewise-linear approximation and Δt = 0.001 s, these errors are +0.00000042 °C and +0.00000122 °C, respectively, that is, they are doubled.
Therefore, in the current case of a quadratic-in-time variation of the surface heat flux, the piecewise-constant approximation is just a bit more accurate than the piecewise-linear one. This is since the linear approximation of the quadratic-intime increase of the surface heat flux gives higher values than the constant approximation during the single time step apart from early times. As an example, for t = 5 seconds and with a time step of 5 seconds, the surface heat-flux variation into the range t ∈[0, 5 s] is shown in both Table 3.6 and Figure 3.8.

Table 3.5 Comparison of exact and approximate temperatures (limited to the first eight decimal-places) at x_p = 1.25 cm and times 5 and 10 seconds for different time steps using the piecewise-constant and -linear approximations for the surface heat flux.
t = 5 s
Δt, s M Approximate temperature (fdX12B_0T0_pca.m), °C Approximate temperature (fdX12B_0T0_pla.m), °C Exact temperature, °C
5 1 {\underline{{35.80839635}}} {\underline{{40.06395886}}}
1 5 29.{\underline{{26946481}}} 29{\underline{{.48749397}}} 29.0661
0.1 50 29.06{\underline{{820322}}} 29.0{\underline{{7031095}}}
0.01 500 29.066{\underline{{11647}}} 29.06{\underline{{613754}}}
0.001 5000 29.066095{\underline{{60}}} 29.066095{\underline{{81}}}
t = 10 s
5 2 1{\underline{{92.17820805}}} {\underline{{202.92273691}}}
1 10 17{\underline{{2.49088307}}} 17{\underline{{3.11720901}}}
0.1 100 171{\underline{{.90433103}}} 171{\underline{{.91042584}}} 171.8982
0.01 1000 171.8982{\underline{{9718}}} 171.8983{\underline{{5813}}}
0.001 10000 171.898236{\underline{{84}}} 171.89823{\underline{{745}}}
Table 3.6 Exact and approximate variation of the surface heat flux into the range t\in[0,\ 5\ s ] when dealing with Δt = 5 seconds.
q_{0}(t)\ [W/{\mathfrak{m}}^{2}],\mathrm{with}\ t\in[0,\ 5\ s]
t [s] Exact: quadratic q_{0}(t)={\bf10}^{5}t^{2} Approximate: constant, q_{0,{\mathrm{1}}} Approximate: linear, 5\cdot10^{5}t
0 0 0 0
1 10^{5} 6.25\cdot10^{5} 5\cdot10^{5}
2  4\cdot10^{5} 6.25\cdot10^{5} 10\cdot10^{5}
3 9\cdot10^{5} 6.25\cdot10^{5} 15\cdot10^{5}
4 16\cdot10^{5} 6.25\cdot10^{5} 20\cdot10^{5}
5 25\cdot10^{5} 6.25\cdot10^{5} 25\cdot10^{5}

 

Table A.3 Types of time boundary condition function on the {\underline{i-}th} boundary.
f_{i} function Notation for 1D problems Notation for 2D and 3D problems
f_{i}(t)=0 B0 B0
f_{i}(t)=c B1 Bt1
f_{i}(t)=c t B2 Bt2
f_{i}(t)=c t^{p},\quad p\gt 1 B3 Bt3
{\mathrm{Arbitrary}}\ f_{i}(t) B- Bt-
figure 3.8

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