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将通流设计程序和叶片造型程序引入到遗传算法同响应面模型相结合的优化系统中,调用流场模拟软件,搭建了三维轴流压气机叶片的优化平台.该优化技术有四个特点:一是为与现代设计系统相接轨,不同于常见的用纯几何方法生成叶片,采用了传统的反问题设计方法生成三维叶片;二是不同于直接优化几何参数,优化自变量选取了设计中具有物理意义的气动参数;三是针对多级压气机的优化,提出了逐级优化策略;四是在优化过程中引入了直观分析法.算例选取了环量分布作为优化自变量,对某轴流双级风扇进行了以极大化非设计点流量为目标的优化;又对其改型设计进行了以极大化设计点绝热效率为目标的优化.
The flow-through design program and the blade modeling program are introduced into the optimization system which is combined with the genetic algorithm and the response surface model, and the flow field simulation software is invoked to build the optimization platform of the three-dimensional axial flow compressor blade.The optimization technology has four characteristics: The first is to connect with the modern design system, different from the common use of pure geometric method to generate the blade, the traditional inverse problem design method is used to generate the three-dimensional blade. Second, different from the direct optimization of geometric parameters, Physical meaning of the aerodynamic parameters; Third, for the multi-stage compressor optimization, put forward a step by step optimization strategy; Fourth, the introduction of the intuitive analysis method in the optimization process.Examples selected ring volume distribution as an optimal independent variable, on a shaft Flow two-stage fan to optimize the flow to maximize the non-design point; and its modified design to maximize the design point of adiabatic efficiency as the goal of optimization.