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Computational Fluid Dynamics Worked Examples

All the problems are extracted from our publication "Computational Fluid Dynamics Recipes - Outline & Worked Examples" and all formulae references are from the book. To order our publications, please visit our page here.

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One Ddimensional Heat Cconduction: Circular Fin

Example 8.2 - 1D Heat Cconduction: Circular Fin

Consider a cylindrical fin with uniform crosssectional area A, shown in Figure 8.4. The base is at temperature of Tb and the tip is insulated. The fin is exposed to an ambient temperature of T. Calculate the temperature distribution along the fin and compare the results with the analytical solution. Data : TB = 100◦C, T = 20◦C, L = 1 m, Peclet Number=(Pe)=hP/(κA) = 25/m2 and κ is constant.

Fig 8_2_1

Heat is conducted along the fin and it is convected from the surface of the fin. The exact solution is given by

Fig 8_2_2



Integral Equation

The problem is in a steady state, that is, the same amount of the heat conducted from the base of the fin is removed from the fin by convection from the surface of it. Convection is given by the Newton’s law of convection

q=hP(T- T)

where h is the convective heat transfer coefficient, P is the perimeter area of the fin, and T is the ambient temperature. Then we have

Fig 8_2_3

where κ is the thermal conductivity

Equation (8.8) is a onedimensional diffusion equation with a heat sink, which is a function of temperature at each node. From the mathematical point of view, we have a mixed boundary, as explained in Section7.4.3.

Since (κA) is constant, Eqn.(8.8) can be rewritten as

Fig 8_2_4

where Pe is the Peclet number.

Integrating this equation will result in

Fig 8_2_5

Using the Gauss’ theorem, Eqn.(1.6), we may rewrite Eqn.(8.10) as:

Fig 8_2_6

The Grid

We could use a uniform grid with Δ x = 0.2m. The grid structure shown in Figure 8.5

Fig 8_2_7

Discretization

The discretization of the first integral in Eqn.(8.11) is similar to the previous Example. We should distinguish between three types of nodes (or control volumes): the inner nodes, the tip node (west boundary), and the base or the wall node (east boundary).

  1. Inner nodes are defined by
    Fig 8_2_8

    Since the fin is small in diameter, we have assumed that the fin’s surface temperature is the same as its center point P. Then, we can write

    Fig 8_2_9

    With reference to Eqn.(7.7), we have

    Fig 8_2_10

    Finally we can write

    Fig 8_2_11

    where

    Fig 8_2_12
  2. Tip node is defined by
    {i = imax}

    This tip is insulated. That is, we have

    Fig 8_2_13

    This is a Neumann boundary condition. According to Eqn.(7.35), we can write

    Fig 8_2_14

    where

    Fig 8_2_15
  3. Base node is defined by
    {i=1}

    Here, we have a Dirichlet boundary condition:

    Tw = T(base) = Tb

    Using Eqn.(7.33), we can write

    Fig 8_2_16

System Solver

We use the Gauss-Seidel method of Section3.1.1 to solve these equations. The iteration converged after 10 steps for the allowed error of 0.0001. The temperature distribution is shown in Figure 8.3.

Fig 8_2_17

The Code

Fig 8_2_18
Fig 8_2_19
Fig 8_2_20
Fig 8_2_21