MATLAB PARTIAL DIFFERENTIAL EQUATION TOOLBOX 1 Manuale Utente Pagina 18

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4. Using the PDE toolbox solve for the temperature distribution with variable thermal
conductivity (make sure to change your function for k to the polynomial fit given for steel in the
function k_SS) for the case given in Lab 3, Part 4. Include a figure of the PDE toolbox solution.
Include a figure plotting temperature at x = 0.5 m and y = 0.9 m versus total number of elements
for both the PDE toolbox solution and FD method. For both methods obtain data for at least 4
different meshes. Determine the number of elements required by both methods to get agreement
within 0.01% of the converged solution of 1299.3 K.
5. Using the PDE toolbox solve for the temperature distribution as a function of space and time
for the case given in Lab 3, Part 5. Include a figure of the PDE toolbox solution at time
t = 90,000 s (25 hours). Include a figure plotting temperature at x = 0.5 m and y = 0.9 m versus
total number of elements for both the PDE toolbox solution and FD method. For the PDE
toolbox solution use 10 time steps of 9,000 s. For the FD method, use a time step of 50 s (check
that this is a stable time step for your node spacing). Determine the number of elements required
by both methods to get agreement within 0.01% of the converged solution of 71.576 ˚C.
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