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A Novel Surface Parameterization Method for Optimizing Radial Impeller Design in Fuel Cell System

机译:一种新型表面参数化方法,用于优化燃料电池系统中的径向叶轮设计

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摘要

The aerodynamic performance improvement of radial impellers is of positive significance to improve the overall performance of hydrogen fuel cell systems (FCS). Our team proposes a multi-degree-of-freedom (MDOF) surface parameterization method for the global automatic optimization of radial impeller aerodynamics. The MDOF surface parameterization is characterized by fewer variables, construction ease, smoothness, good flexibility, and blade strength maintenance. In this paper, a radial impeller for a 100-kW fuel cell stack is optimized, showing the isentropic efficiency increase of 0.7%, the flow rate increase of 3.77%, and the total pressure ratio increase of 0.37%. The results revealed that the performance of the optimized radial impeller significantly improved, verifying the validity and reliability of the proposed novel design optimization method and providing technical support and methodological research of radial impeller aerodynamic optimization for hydrogen FCS.
机译:径向叶轮的空气动力学性能改善具有阳性意义,以改善氢燃料电池系统(FCS)的整体性能。我们的团队提出了一种多程度自由(MDOF)表面参数化方法,用于全球自动优化径向叶轮空气动力学。 MDOF表面参数化的特点是变量较少,施工轻松,平滑度,良好的灵活性和刀片强度维护。本文优化了100千瓦燃料电池堆的径向叶轮,显示出熵效率升高0.7%,流速增加3.77%,总压力比增加0.37%。结果表明,优化的辐射叶轮的性能显着提高,验证了提出的新颖设计优化方法的有效性和可靠性,并为氢气FCS提供了辐射叶轮空气动力学优化的技术支持和方法研究。

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