Page 89 - Introduction to Computational Fluid Dynamics
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                                                                       1D CONDUCTION–CONVECTION
                            where   is given by Equation 3.51. To derive an expression for tan  ID (where the
                            subscript ID stands for implicit differencing), therefore, let X P = 0. Then, from
                            Equation 3.62, it can be shown that
                                                          (AE − AW)sin( X)
                                              tan  ID =                           .            (3.63)
                                                      1 + (AE + AW)(1 − cos X)
                               Equation 3.63 again shows that, as  X → 0,   ID →   exact . Also, notice that the
                            denominator of this equation with a plus sign before (AE + AW) is not the same
                            as the denominator in Equation 3.55. The plus sign indicates that the propagation
                            wave will be more severely damped than in the explicit procedure and this damping
                            will be greater for large  X (small wavelength) than for small  X. Now, to derive
                            an expression for AR ID , let X P = π/2. Then, using Equations 3.62 and 3.63, we
                            can show that

                                                   T P                   cos  ID
                                      AR ID =               =                             .    (3.64)
                                             T 0 sin(x P +   ID )  1 + (AE + AW)(1 − cos X)
                               Again, this expression is different from Equation 3.57. Equation 3.64 shows
                                                                                                −1
                                                                                            2
                            that when  X and   ID are small, AR ID = 1 + (AE + AW) X /2           =
                            (1 +  τ) −1  ∼ 1 +  τ → exp(− τ)asrequired. When X = π (i.e.,for acoarse
                            grid), however, AR ID = cos  ID /[1 + 2(AE + AW)].
                               These remarkable results show that AR ID can never be greater than 1 because
                            neither AE nor AW can be negative. Thus, the implicit discretisation is uncondi-
                            tionally stable and there is no restriction on the time step. Again, in pure conduction
                            (P = 0), we had demonstrated this result in Chapter 2 through a worked example.
                            The implicit discretisation is thus safe. The only disadvantage is that the discretised
                            equation must be solved iteratively rather than by a marching procedure, which is
                            possible in an explicit scheme.
                               The conclusions arrived at in this section apply equally to variables other than
                            T, to nonuniform grids, to  -dependent coefficients, and to multiple dimensions.



                            EXERCISES

                             1. Derive Equation 3.7.
                             2. Show that the CDS formula (3.31) is second-order accurate for both the first
                                and the second derivatives.
                             3. Show that the UDS formula (3.32) represents convection to only first-order
                                accuracy.

                             4. Show that the UDS formula is a CDS representation of Equation 3.35.
                             5. Show correctness of the HDS (3.36) and power-law (3.37) expressions by
                                recalculating the   P values shown in Table 3.1.
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