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在用SIMPLER算法求解黏性流场的过程中,采用了模糊控制方法改变亚松弛因子的大小,显著地加快了收敛速度.进行数值计算时,将相邻两次迭代中动量方程或能量方程残差范数的比值作为控制输入量,经过模糊化、模糊推理和解模糊,输出亚松弛因子的变化率,并以新的亚松弛因子进行下一次迭代.对4个二维有基准解的层流的流动和传热问题使用该方法求解,都在几乎是最少迭代次数下获得了收敛的结果,证明了该方法的有效性.
In the process of using SIMPLER algorithm to solve viscous flow field, the fuzzy control method is used to change the sub-relaxation factor, which accelerates the convergence rate significantly.When the numerical calculation is carried out, the momentum equation or the energy equation of two adjacent iterations The ratio of the difference norm and the difference norm is used as the control input, the rate of change of the sub-relaxation factor is output through fuzzy, fuzzy inference and solution-fuzzy, and the next iteration is performed with the new sub-relaxation factor. The flow and heat transfer problems are solved by this method, and the convergence results are obtained with almost the minimum number of iterations, which proves the effectiveness of the method.