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Multi-objective aerodynamic optimization design method of compressor rotor based on Isight

机译:基于iSight的压缩机转子多目标空气动力学优化设计方法

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In order to achieving the multi-objective optimization of the compressor rotor blade, a hybrid optimization design algorithm was proposed. The algorithm included three parts: the design of experiment technology was applied to reduce the dimensions of the design variables; the response surface model was established according to the simulation data of the experiment design; the Non-Dominated Sorting in Genetic Algorithm was applied to acquire the multi-objective optimization solutions. In this study, NASA rotor37 was optimized for the maximization of the pressure ratio and adiabatic efficiency using the hybrid optimization algorithm. The result demonstrates that the optimization design method was effectively feasible.
机译:为了实现压缩机转子叶片的多目标优化,提出了一种混合优化设计算法。该算法包括三个部分:应用实验技术的设计,以减少设计变量的尺寸;根据实验设计的仿真数据建立响应面模型;应用遗传算法中的非主导分类来获取多目标优化解决方案。在该研究中,NASA Rotor37通过混合优化算法优化了用于最大化压力比和绝热效率的优化。结果表明,优化设计方法有效可行。

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