What are the two basic methods of solution of transient problems based on finite differencing? How do heat transfer terms in the energy balance formulation differ in the two methods?

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Question: Explain the two basic methods of solving transient problems based on finite differencing and discuss how the heat transfer terms in the energy balance formulation differ in these two methods. Answer: The two basic methods of solving transient problems based on finite differencing are the explicit method and the implicit method. In the explicit method, the dependent variable's future time step is calculated using the values at the current time step. This method is easy to implement but can be unstable if the time step is too large. For the implicit method, the future time step is calculated by considering both the current and future time steps, making it more stable but computationally intensive. The primary difference in the energy balance formulation between these methods lies in how the heat transfer terms are treated. In the explicit method, the heat transfer terms at the current time step are used to approximate the energy balance equation, while in the implicit method, the heat transfer terms at the future time step are used, leading to different stability and computational characteristics.

Step by step solution

01

Introduction to Finite Differencing

Finite differencing is a numerical technique used to solve partial differential equations (PDEs) by approximating derivatives with difference equations. This technique is particularly useful for solving transient (time-dependent) problems, where the solution evolves over time.
02

Explicit and Implicit Methods

The two basic methods of solution of transient problems based on finite differencing are the explicit method and the implicit method. Explicit method: In this method, the value of the dependent variable at a future time step is calculated using the values of the variables at the current time step. This makes the explicit method easy to implement, but it can be unstable if the time step is too large. Implicit method: In contrast to the explicit method, the implicit method calculates the values of the dependent variable at the future time step by considering both the current and the future time steps. This makes the implicit method generally more stable, but it requires solving a system of linear equations, which can be more computationally intensive.
03

Differences in Heat Transfer Terms in the Energy Balance Formulation

In the energy balance formulation of transient problems, the primary difference between the explicit and implicit methods lies in how the heat transfer terms are treated. For the explicit method, the heat transfer terms at the current time step are used to approximate the energy balance equation. This means that the equation is fully explicit and depends only on the values from the current time step. Mathematically, this can be represented as: \[T^{n+1}_i = T^n_i + \Delta t \left[\frac{\alpha}{(\Delta x)^2}(T^n_{i+1} - 2T^n_i + T^n_{i-1}) \right]\] For the implicit method, the heat transfer terms at the future time step are used in the energy balance equation, resulting in an implicit equation that depends on the values from both the current and future time steps. Mathematically, this is represented as: \[T^{n+1}_i = T^n_i + \Delta t \left[\frac{\alpha}{(\Delta x)^2}(T^{n+1}_{i+1} - 2T^{n+1}_i + T^{n+1}_{i-1}) \right]\] In summary, the major difference between the heat transfer terms in the explicit and implicit methods is that the explicit method uses the heat transfer terms at the current time step while the implicit method uses the terms at the future time step. This leads to different stability and computational characteristics between the two methods, as discussed in Step 2.

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Most popular questions from this chapter

Explain why the local discretization error of the finite difference method is proportional to the square of the step size. Also explain why the global discretization error is proportional to the step size itself.

A hot surface at \(100^{\circ} \mathrm{C}\) is to be cooled by attaching 3 -cm- long, \(0.25\)-cm-diameter aluminum pin fins \((k=\) \(237 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K}\) ) with a center-to-center distance of \(0.6 \mathrm{~cm}\). The temperature of the surrounding medium is \(30^{\circ} \mathrm{C}\), and the combined heat transfer coefficient on the surfaces is \(35 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\). Assuming steady one-dimensional heat transfer along the fin and taking the nodal spacing to be \(0.5 \mathrm{~cm}\), determine \((a)\) the finite difference formulation of this problem, \((b)\) the nodal temperatures along the fin by solving these equations, \((c)\) the rate of heat transfer from a single fin, and \((d)\) the rate of heat transfer from a \(1-\mathrm{m} \times 1-\mathrm{m}\) section of the plate.

What happens to the discretization and the round-off errors as the step size is decreased?

A common annoyance in cars in winter months is the formation of fog on the glass surfaces that blocks the view. A practical way of solving this problem is to blow hot air or to attach electric resistance heaters to the inner surfaces. Consider the rear window of a car that consists of a \(0.4\)-cm-thick glass \(\left(k=0.84 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K}\right.\) and \(\left.\alpha=0.39 \times 10^{-6} \mathrm{~m}^{2} / \mathrm{s}\right)\). Strip heater wires of negligible thickness are attached to the inner surface of the glass, \(4 \mathrm{~cm}\) apart. Each wire generates heat at a rate of \(25 \mathrm{~W} / \mathrm{m}\) length. Initially the entire car, including its windows, is at the outdoor temperature of \(T_{o}=-3^{\circ} \mathrm{C}\). The heat transfer coefficients at the inner and outer surfaces of the glass can be taken to be \(h_{i}=6\) and \(h_{o}=20 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\), respectively. Using the explicit finite difference method with a mesh size of \(\Delta x=\) \(0.2 \mathrm{~cm}\) along the thickness and \(\Delta y=1 \mathrm{~cm}\) in the direction normal to the heater wires, determine the temperature distribution throughout the glass \(15 \mathrm{~min}\) after the strip heaters are turned on. Also, determine the temperature distribution when steady conditions are reached.

Consider steady one-dimensional heat conduction in a pin fin of constant diameter \(D\) with constant thermal conductivity. The fin is losing heat by convection to the ambient air at \(T_{\infty}\) with a heat transfer coefficient of \(h\). The nodal network of the fin consists of nodes 0 (at the base), 1 (in the middle), and 2 (at the fin tip) with a uniform nodal spacing of \(\Delta x\). Using the energy balance approach, obtain the finite difference formulation of this problem to determine \(T_{1}\) and \(T_{2}\) for the case of specified temperature at the fin base and negligible heat transfer at the fin tip. All temperatures are in \({ }^{\circ} \mathrm{C}\).

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