Abstract Herein, a net-based topology optimization approach for cooling channels is presented, which helps to make a balance between power dissipation, thermal stress and temperature limitation in forced internal cooling problems with approximate but fast and low-cost calculations. The topology optimization procedure consists of a discrete based flow and heat coupling analysis, the flow analysis by the improved pipe-net calculation, as well as the genetic algorithm (GA). The channel sizes are used as optimization variables in the GA to achieve optimization in terms of the size and topology structure of the cooling region. Numerical simulation is carried out to validate the proposed model's applicability in topology optimization for cooling channels. A comparative study illustrates that different optimization objectives lead to varying topology features and this approach can obtain a complicated and fine optimization result within a relatively short time. Moreover, the optimization results can significantly reduce the maximum temperature and temperature distribution nonuniformity of the heating surface with a lower pressure drop.

中文翻译：

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基于网络的冷却通道拓扑优化方法

摘要 本文提出了一种基于网络的冷却通道拓扑优化方法，该方法有助于通过近似但快速且低成本的计算在强制内部冷却问题中在功耗、热应力和温度限制之间取得平衡。拓扑优化程序包括基于离散的流动和热耦合分析、通过改进的管网计算进行的流动分析以及遗传算法 (GA)。通道尺寸在 GA 中用作优化变量，以实现冷却区域尺寸和拓扑结构的优化。进行数值模拟以验证所提出的模型在冷却通道拓扑优化中的适用性。对比研究表明，不同的优化目标导致不同的拓扑特征，这种方法可以在较短的时间内获得复杂而精细的优化结果。此外，优化结果可以在较低的压降下显着降低受热面的最高温度和温度分布不均匀性。