Consider steady two-dimensional heat conduction in a square cross section \((3 \mathrm{~cm} \times 3 \mathrm{~cm}, k=20 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K}, \alpha=\) \(6.694 \times 10^{-6} \mathrm{~m}^{2} / \mathrm{s}\) ) with constant prescribed temperature of \(100^{\circ} \mathrm{C}\) and \(300^{\circ} \mathrm{C}\) at the top and bottom surfaces, respectively. The left surface is exposed to a constant heat flux of \(1000 \mathrm{~W} / \mathrm{m}^{2}\) while the right surface is in contact with a convective environment \(\left(h=45 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\right)\) at \(20^{\circ} \mathrm{C}\). Using a uniform mesh size of \(\Delta x=\Delta y\), determine \((a)\) finite difference equations and \((b)\) the nodal temperatures using Gauss-Seidel iteration method.

Short Answer

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Based on the solution explained step by step, answer the following question: **Question**: Find the steady-state nodal temperatures of a given 2D domain with uniform grid size using Gauss-Seidel iteration method, given the following boundary and initial conditions: 1. Top surface: \(T = 100^\circ C\) 2. Bottom surface: \(T = 300^\circ C\) 3. Left surface: Constant heat flux of \(1000 W/m^2\) 4. Right surface: Convective environment with \(h=45 W/m^2K\) and \(T_\infty = 20^\circ C\) **Answer**: To find the steady-state nodal temperatures, follow the steps below. 1. Create finite difference equations using the given boundary and initial conditions: \(T_{i+1,j} + T_{i-1,j} + T_{i,j+1} + T_{i,j-1} - 4T_{i,j} = 0\). 2. Rearrange the finite difference equation to obtain an explicit equation for \(T_{i,j}\): \(T_{i,j}^{(k+1)} = \frac{1}{4}\left(T_{i+1,j}^{(k)} + T_{i-1,j}^{(k+1)} + T_{i,j+1}^{(k)} + T_{i,j-1}^{(k+1)}\right)\). 3. Apply the Gauss-Seidel iteration method by starting with an initial guess for nodal temperatures, calculating new temperatures using the explicit equation for \(T_{i,j}\), checking for convergence, and iterating until the convergence criterion is met. 4. The final converged nodal temperatures represent the steady-state temperature distribution in the 2D domain.

Step by step solution

01

Part (a): Finite Difference Equations

To create the finite difference equations, we need to use the 2D steady state heat conduction equation: $$\frac{\partial^2 T}{\partial x^2} + \frac{\partial^2 T}{\partial y^2} = 0$$ Now, let's discretize the equation using the central difference scheme and apply it to a generic node \((i, j)\): $$\frac{T_{i+1,j} - 2T_{i,j} + T_{i-1,j}}{\Delta x^2} + \frac{T_{i,j+1} - 2T_{i,j} + T_{i,j-1}}{\Delta y^2} = 0$$ Since the mesh size is uniform (\(\Delta x = \Delta y\)), we can rewrite the equation as: $$T_{i+1,j} + T_{i-1,j} + T_{i,j+1} + T_{i,j-1} - 4T_{i,j} = 0$$ Now, let's apply the given boundary and initial conditions to the finite difference equations. 1. Top surface: \(T = 100^\circ C\) 2. Bottom surface: \(T = 300^\circ C\) 3. Left surface: Constant heat flux of \(1000 W/m^2\) (we will use one-sided differencing) 4. Right surface: Convective environment with \(h=45 W/m^2K\) and \(T_\infty = 20^\circ C\)
02

Part (b): Solving for Nodal Temperatures Using Gauss-Seidel Iteration Method

To solve for the nodal temperatures using the Gauss-Seidel iteration method, we first need to rearrange the finite difference equation from Part (a) and obtain an explicit equation for \(T_{i,j}\): $$T_{i,j}^{(k+1)} = \frac{1}{4}\left(T_{i+1,j}^{(k)} + T_{i-1,j}^{(k+1)} + T_{i,j+1}^{(k)} + T_{i,j-1}^{(k+1)}\right)$$ Now, we apply the Gauss-Seidel method: 1. Start with an initial guess for nodal temperatures (a common choice is the average of the boundary temperatures). 2. Calculate new temperatures using the explicit equation for \(T_{i,j}\) and the given boundary conditions. 3. Check for convergence (e.g., by comparing the absolute difference between successive iterates or by using a convergence criterion like the residual). 4. If the convergence criterion is met, stop; otherwise, return to step 2. Repeat the above steps until convergence is reached to find the nodal temperatures in the 2D domain.

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