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The application of the CFD and Kriging method to an optimization of heat sink

机译：CFD和Kriging方法在散热器优化中的应用

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摘要

The shape optimization of the plate-fin type heat sink with an air deflector is numerically performed to minimize the pressure loss subjected to the desired maximum temperature and geometrical constraints. A function evaluation using the FVM, in general, is required much computational costs in fluid/thermal systems. Thus, global approximate optimization techniques have been introduced into the optimization of fluid/thermal systems. In this study, the Kriging method, which is one of the metamodels, associated with the computational fluid dynamics (CFD) is used to obtain the optimal solutions. The Kriging method can dramatically reduce a computational cost by 1/6 times compared to that of the SQP method so that its efficiency can be validated. The results also show that when the temperature rise is less than 40 K, the optimal design variables are B_1 = 2.44 mm, B_3 = 2.09 mm, and t = 7.58 mm.
机译：数值执行带有空气偏转器的板翅式散热器的形状优化，以使承受所需最大温度和几何约束的压力损失最小化。通常，在流体/热系统中，使用FVM进行功能评估需要大量的计算成本。因此，已经将全局近似优化技术引入到流体/热系统的优化中。在这项研究中，使用Kriging方法（一种元模型）与计算流体动力学（CFD）相关联，以获取最佳解。与SQP方法相比，Kriging方法可以将计算成本大幅降低1/6倍，因此可以验证其效率。结果还表明，当温升小于40 K时，最佳设计变量为B_1 = 2.44 mm，B_3 = 2.09 mm和t = 7.58 mm。

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