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首页> 外文期刊>Numerical Heat Transfer, Part B. Fundamentals: An International Journal of Computation and Methodology >Performance analyses of the IDEAL algorithm combined with the fuzzy control method for 3D incompressible fluid flow and heat transfer problems
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Performance analyses of the IDEAL algorithm combined with the fuzzy control method for 3D incompressible fluid flow and heat transfer problems

机译：IDEAL算法结合模糊控制方法对3D不可压缩流体流动和传热问题的性能分析

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摘要

IDEAL proposed by the present author is an efficient segregated algorithm for solving the incompressible fluid flow and heat transfer problems. However, its convergence rate is greatly influenced by the under-relaxation factor. The convergence rate under an optimum under-relaxation factor is dozens of times quicker than that under the most unfavorable under-relaxation factor. To lessen the influence, the IDEAL algorithm combined with a fuzz control method, called IDEAL+FC, is introduced to automatically regulate the values of the under-relaxation factor for accelerating the iteration convergence. Finally, it is demonstrated that IDEAL+FC is superior to IDEAL in terms of convergence rate and robustness. The rapid convergence rate can be achieved by IDEAL+FC even if the initial under-relaxation factor is the most unfavorable value.
机译：作者提出的IDEAL是解决不可压缩流体流动和传热问题的有效分离算法。但是，它的收敛速度受松弛系数的影响很大。最佳低松弛因子下的收敛速度比最不利的低松弛因子下的收敛速度快数十倍。为了减轻影响，引入了IDEAL算法和一种称为IDEAL + FC的模糊控制方法，以自动调节欠松弛因子的值，以加快迭代收敛。最后，证明了IDEAL + FC在收敛速度和鲁棒性方面优于IDEAL。即使初始欠松弛因子是最不利的值，也可以通过IDEAL + FC实现快速收敛。

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