Optimal heat dissipation in power modules can significantly increase their power density. Removing the generated heat is critical for capturing the benefits of advanced semiconductor materials and improving the reliability of the device operation. This study proposes a design optimization method for liquid-cooled heat sinks that use a Fourier analysis–based tool and an evolutionary optimization algorithm to optimize the heat sink geometry for specified objectives. The optimized heat sink geometry was compared with state-of-the-art solutions in the literature based on finite element analysis of different designs. The proposed methodology can develop complex geometries that outperform conventional heat sink geometries. Optimized heat sink design from the proposed method was fabricated and tested in an experimental setup under representative operating conditions. The experimental setup was also modeled in the finite element model that was used for the proposed heat sink optimization method. The experimental results show that developed finite element models can predict the thermal and flow performance of the complex design with high fidelity, and the results validate the proposed design approach.

中文翻译：

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基于傅里叶级数和进化多目标多物理场优化的WBG功率模块散热器设计

功率模块中的最佳散热可以显着提高其功率密度。去除产生的热量对于获得先进半导体材料的优势和提高设备运行的可靠性至关重要。本研究提出了一种液冷散热器的设计优化方法，该方法使用基于傅立叶分析的工具和进化优化算法来优化特定目标的散热器几何形状。基于不同设计的有限元分析，将优化的散热器几何形状与文献中的最新解决方案进行了比较。所提出的方法可以开发出优于传统散热器几何形状的复杂几何形状。在具有代表性的操作条件下，在实验装置中制造和测试了根据所提出的方法优化的散热器设计。实验装置也在有限元模型中建模，该模型用于所提出的散热器优化方法。实验结果表明，开发的有限元模型可以高保真地预测复杂设计的热和流动性能，结果验证了所提出的设计方法。