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Starting with an energy balance on a volume element, obtain the two- dimensional transient explicit finite difference equation for a general interior node in rectangular coordinates for \(T(x, y, t)\) for the case of constant thermal conductivity and no heat generation.

Short Answer

Expert verified
The 2D transient explicit finite difference equation is given by: \(T^{n+1}(x, y) = \frac{\Delta t \left[\frac{k}{(\Delta x)^2}\right](T^n(x+\Delta x, y) - 2T^n(x, y) + T^n(x-\Delta x, y))+\frac{\Delta t \left[\frac{k}{(\Delta y)^2}\right](T^n(x, y+\Delta y) - 2T^n(x, y) + T^n(x, y- \Delta y))}{\rho c_p} + T^n(x, y)\) where \(T(x, y, t)\) denotes the temperature at spatial coordinate (x,y) and time t. \(n\) represents the time step, \(\Delta x\) and \(\Delta y\) represent the spatial grid size, \(\Delta t\) represents the time step, \(k\) is the thermal conductivity, \(\rho\) is the density, and \(c_p\) is the specific heat capacity.

Step by step solution

01

Derive the governing equation from an energy balance

The energy balance equation for a rectangular volume element of dimensions \(\Delta x\), \(\Delta y\), and \(\Delta z\) with constant thermal conductivity \(k\) and no heat generation can be written as: \({(q_x - q_{x+\Delta x})\Delta y \Delta z + (q_y - q_{y+\Delta y})\Delta x \Delta z = \rho c_p \Delta x \Delta y \Delta z \frac{\partial T}{\partial t}}\) where \(\rho\) is the density, \(c_p\) is the specific heat capacity, and \(q_x\) and \(q_y\) are the heat fluxes in the x and y directions, respectively. We can write heat fluxes using Fourier's law: \(q_x = -k \frac{\partial T}{\partial x}\) and \(q_y = -k \frac{\partial T}{\partial y}\). Substitute these into the energy balance equation: \({(-k \frac{\partial T}{\partial x}+k \frac{\partial T}{\partial x + \Delta x})\Delta y \Delta z + (-k \frac{\partial T}{\partial y}+k \frac{\partial T}{\partial y + \Delta y})\Delta x \Delta z = \rho c_p \Delta x \Delta y \Delta z \frac{\partial T}{\partial t}}\) Divide both sides by \(\Delta x \Delta y \Delta z\): \({[\frac{-k}{\Delta x}(\frac{\partial T}{\partial x} - \frac{\partial T}{\partial x + \Delta x})] + [\frac{-k}{\Delta y}(\frac{\partial T}{\partial y} - \frac{\partial T}{\partial y + \Delta y})] = \rho c_p \frac{\partial T}{\partial t}}\) For simplicity, we can drop the +\(\Delta x\) and +\(\Delta y\) terms in the derivatives, assuming they represent small variations. Thus, we get the following form of the heat equation: \({\frac{k}{\Delta x^2} \frac{\partial^2 T}{\partial x^2} + \frac{k}{\Delta y^2} \frac{\partial^2 T}{\partial y^2} = \rho c_p \frac{\partial T}{\partial t}}\)
02

Use finite difference approximations for the spatial derivatives

Now, we need to apply finite difference approximations for the second-order spatial derivatives. Using central difference, we have: \(\frac{\partial^2 T}{\partial x^2} \approx \frac{T(x+\Delta x, y) - 2T(x, y) + T(x-\Delta x, y)}{(\Delta x)^2}\) and \(\frac{\partial^2 T}{\partial y^2} \approx \frac{T(x, y+\Delta y) - 2T(x, y) + T(x, y-\Delta y)}{(\Delta y)^2}\) Substitute these approximations back into the heat equation: \({\frac{k}{\Delta x^2} (\frac{T(x+\Delta x, y) - 2T(x, y) + T(x-\Delta x, y)}{(\Delta x)^2}) + \frac{k}{\Delta y^2} (\frac{T(x, y+\Delta y) - 2T(x, y) + T(x, y-\Delta y)}{(\Delta y)^2}) = \rho c_p \frac{\partial T}{\partial t}}\) Simplify the equation: \({\left[\frac{k(\Delta y)^2}{(\Delta x)^2(\Delta y)^2}\right](T(x+\Delta x, y) - 2T(x, y) + T(x-\Delta x, y))+\left[\frac{k(\Delta x)^2}{(\Delta x)^2(\Delta y)^2}\right](T(x, y+\Delta y) - 2T(x, y) + T(x, y- \Delta y)) = \rho c_p \frac{\partial T}{\partial t}}\) Further simplify the equation: \({\left[\frac{k}{(\Delta x)^2}\right](T(x+\Delta x, y) - 2T(x, y) + T(x-\Delta x, y))+\left[\frac{k}{(\Delta y)^2}\right](T(x, y+\Delta y) - 2T(x, y) + T(x, y- \Delta y)) = \rho c_p \frac{\partial T}{\partial t}}\)
03

Approximate the time derivative using explicit finite difference

To obtain the explicit finite difference equation, we will approximate the time derivative using a forward difference scheme, which gives: \(\frac{\partial T}{\partial t} \approx \frac{T^{n+1}(x, y) - T^n(x, y)}{\Delta t}\) Substitute this back into the simplified equation: \({\left[\frac{k}{(\Delta x)^2}\right](T^n(x+\Delta x, y) - 2T^n(x, y) + T^n(x-\Delta x, y))+\left[\frac{k}{(\Delta y)^2}\right](T^n(x, y+\Delta y) - 2T^n(x, y) + T^n(x, y- \Delta y)) = \rho c_p \frac{T^{n+1}(x, y) - T^n(x, y)}{\Delta t}}\) Now isolate the term \(T^{n+1}(x, y)\) on the left-hand side: \(T^{n+1}(x, y) = \frac{\Delta t \left[\frac{k}{(\Delta x)^2}\right](T^n(x+\Delta x, y) - 2T^n(x, y) + T^n(x-\Delta x, y))+\frac{\Delta t \left[\frac{k}{(\Delta y)^2}\right](T^n(x, y+\Delta y) - 2T^n(x, y) + T^n(x, y- \Delta y))}{\rho c_p} + T^n(x, y)\) This is the final two-dimensional transient explicit finite difference equation for a general interior node in rectangular coordinates with constant thermal conductivity and no heat generation.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Finite Difference Method
The finite difference method is a numerical technique used to approximately solve differential equations. It transforms the differential equation into a set of algebraic equations by replacing the derivatives with difference equations. This method is very helpful when dealing with complex equations that are hard to solve analytically.
The basic idea is to use discrete points in the space and time domain to represent the continuous problem. For instance, the spatial domain might be divided into small steps of width \( \Delta x \) and \( \Delta y \), while the time domain could be divided into increments of \( \Delta t \).
By applying this method, one can use a grid to solve for temperature distribution across large areas without having to solve the complex equations directly. Instead, simple algebra is used to approximate the values of the functions we're interested in, such as temperature in transient heat conduction scenarios.
Rectangular Coordinates
Rectangular coordinates are part of a coordinate system that uses straight-line axes, typically referred to as x, y, and z. In this case, we look at how heat is distributed in a material by examining how temperature changes along these coordinates over time.
A rectangular coordinate system simplifies the problem when features are aligned along straight lines, making it easier to apply mathematical formulas.
  • The x-direction and y-direction represent the two axes along which heat might flow.
  • This choice of coordinates is significant because it directly affects how the differential equations are created and solved.
In problems dealing with heat conduction, using rectangular coordinates allows us to separately analyze variations along each axis and thus simplify calculations by considering only relevant components of the heat flow.
Thermal Conductivity
Thermal conductivity is a material property that describes how well heat is conducted through a material. Essentially, it tells us how easily heat passes through a given substance.
Materials with high thermal conductivity will transfer heat quickly, while those with low conductivity will do so much slower.
  • In our equations, thermal conductivity \( k \) appears in the Fourier’s Law expressions for heat flux \( q_x = -k \frac{\partial T}{\partial x} \) and \( q_y = -k \frac{\partial T}{\partial y} \).
Understanding thermal conductivity is fundamental in designing systems where heat transfer is a concern, such as insulation, electronics, or manufacturing processes that involve temperature regulation. This property affects how quickly heat can spread across a medium, thus impacting solutions to heat conduction problems.
Energy Balance
Energy balance is the principle that guides the development of the finite difference equation for heat conduction problems. It asserts that energy entering a small volume should equal the energy leaving the volume plus the change in energy stored within the volume.
In mathematical terms, this balance can be written using heat energy flux terms for a defined control volume, which are then equated to the change in internal energy.
  • The energy balance forms the basis of the differential equations leading to essential relationships like \( \rho c_p \frac{\partial T}{\partial t} \), which represents the storage term of energy.
  • By using the energy balance, we make sure our mathematical models accurately represent physical reality—specifically, how heat is stored and transferred within a system.
This balance is a cornerstone of engineering and thermodynamics, ensuring that calculated temperatures reflect how real-world systems will behave over time as they absorb and transfer heat.

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Most popular questions from this chapter

The unsteady forward-difference heat conduction for a constant area, \(A\), pin fin with perimeter, \(p\), exposed to air whose temperature is \(T_{0}\) with a convection heat transfer coefficient of \(h\) is $$ \begin{aligned} T_{m}^{*+1}=& \frac{k}{\rho c_{p} \Delta x^{2}}\left[T_{m-1}^{*}+T_{m+1}^{*}+\frac{h p \Delta x^{2}}{A} T_{0}\right] \\\ &-\left[1-\frac{2 k}{\rho c_{p} \Delta x^{2}}-\frac{h p}{\rho c_{p} A}\right] T_{m}^{*} \end{aligned} $$ In order for this equation to produce a stable solution, the quantity \(\frac{2 k}{\rho c_{p} \Delta x^{2}}+\frac{h p}{\rho c_{p} A}\) must be (a) negative (b) zero (c) positive (d) greater than 1 (e) less than 1

Consider a long concrete dam \((k=0.6 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K}\), (es \(\alpha_{s}=0.7\) ) of triangular cross section whose exposed surface is subjected to solar heat flux of \(\dot{q}_{s}=\) \(800 \mathrm{~W} / \mathrm{m}^{2}\) and to convection and radiation to the environment at \(25^{\circ} \mathrm{C}\) with a combined heat transfer coefficient of \(30 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\). The \(2-\mathrm{m}\)-high vertical section of the dam is subjected to convection by water at \(15^{\circ} \mathrm{C}\) with a heat transfer coefficient of \(150 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\), and heat transfer through the 2-m-long base is considered to be negligible. Using the finite difference method with a mesh size of \(\Delta x=\Delta y=1 \mathrm{~m}\) and assuming steady two-dimensional heat transfer, determine the temperature of the top, middle, and bottom of the exposed surface of the dam.

Consider a large uranium plate of thickness \(L=9 \mathrm{~cm}\), thermal conductivity \(k=28 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K}\), and thermal diffusivity \(\alpha=12.5 \times 10^{-6} \mathrm{~m}^{2} / \mathrm{s}\) that is initially at a uniform temperature of \(100^{\circ} \mathrm{C}\). Heat is generated uniformly in the plate at a constant rate of \(\dot{e}=10^{6} \mathrm{~W} / \mathrm{m}^{3}\). At time \(t=0\), the left side of the plate is insulated while the other side is subjected to convection with an environment at \(T_{\infty}=20^{\circ} \mathrm{C}\) with a heat transfer coefficient of \(h=35 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\). Using the explicit finite difference approach with a uniform nodal spacing of \(\Delta x=1.5 \mathrm{~cm}\), determine \((a)\) the temperature distribution in the plate after \(5 \mathrm{~min}\) and \((b)\) how long it will take for steady conditions to be reached in the plate.

Consider a stainless steel spoon \((k=15.1 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K}\), \(\varepsilon=0.6\) ) that is partially immersed in boiling water at \(95^{\circ} \mathrm{C}\) in a kitchen at \(25^{\circ} \mathrm{C}\). The handle of the spoon has a cross section of about \(0.2 \mathrm{~cm} \times 1 \mathrm{~cm}\) and extends \(18 \mathrm{~cm}\) in the air from the free surface of the water. The spoon loses heat by convection to the ambient air with an average heat transfer coefficient of \(h=13 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\) as well as by radiation to the surrounding surfaces at an average temperature of \(T_{\text {surr }}=\) \(295 \mathrm{~K}\). Assuming steady one- dimensional heat transfer along the spoon and taking the nodal spacing to be \(3 \mathrm{~cm}\), (a) obtain the finite difference formulation for all nodes, (b) determine the temperature of the tip of the spoon by solving those equations, and \((c)\) determine the rate of heat transfer from the exposed surfaces of the spoon.

A plane wall with surface temperature of \(350^{\circ} \mathrm{C}\) is attached with straight rectangular fins \((k=235 \mathrm{~W} / \mathrm{m} \cdot \mathrm{K})\). The fins are exposed to an ambient air condition of \(25^{\circ} \mathrm{C}\) and the convection heat transfer coefficient is \(154 \mathrm{~W} / \mathrm{m}^{2} \cdot \mathrm{K}\). Each fin has a length of \(50 \mathrm{~mm}\), a base of \(5 \mathrm{~mm}\) thick, and a width of \(100 \mathrm{~mm}\). For a single fin, using a uniform nodal spacing of \(10 \mathrm{~mm}\), determine \((a)\) the finite difference equations, \((b)\) the nodal temperatures by solving the finite difference equations, and \((c)\) the heat transfer rate and compare the result with analytical solution.

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