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通过压气机叶片自动优化设计关键技术研究,提出采用并行遗传算法以实现全局寻优和并行优化缩短优化耗时;采用基于修改量参数化方法,达到优化过程生成叶型的可控性和合理性;提出兼顾非设计点性能的目标函数设置方法,实现全工况优化;并进一步研制出二维平面和任意回转面叶型自动优化设计软件。软件中流场计算模块与商用软件相比一致性较好,表明流场计算模块的可靠性。应用所研制的优化设计软件设计的高亚声叶栅叶片表面等熵马赫数分布呈控制扩散规律,超声叶栅通道内势流区流动近于呈等熵压缩,实现了给定压比下低总压损失系数和较大的低总压损失系数工作范围。
Through the research on the key technology of automatic optimization design of compressor blades, the parallel genetic algorithm is proposed to achieve global optimization and parallel optimization to shorten the optimization time-consuming. Adopting the parameter-based modification method, the controllability and rationality The objective function setting method, which takes into account the performance of non-design points, is put forward to realize the optimization of the whole working conditions. The automatic optimization design software of two-dimensional plane and arbitrary rotary plane leaves is further developed. Software flow field calculation module and commercial software consistency is better, indicating the reliability of the flow field calculation module. The distribution of isentropic Mach number of the high subsonic cascade blade controlled by the optimized design software was controlled diffusion law. The flow in the cascade flow channel was almost isentropic compression, and the total pressure at a given pressure ratio Loss Coefficient and Large Low Total Pressure Loss Coefficient Operating Range.