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为研究气冷涡轮叶片设计的特点,搭建了一个可以对采用气膜冷却的气冷涡轮叶片进行全三维优化的平台,该平台可在有冷气喷射的条件下对叶片进行多目标优化。优化平台中采用11参数法对叶片进行造型。针对该造型方法和优化设计的要求对优化变量的选取和优化策略以及优化目标的设定进行了一定的探讨,采用多岛遗传算法对优化问题进行寻优。采用该平台对某航空涡轮第一级静叶进行了优化。由于对不同目标进行了加权处理,所以随着优化目标侧重点的不同,优化方案的叶型呈现出不同特点,其气动效率和冷却效果均有所改善。
In order to study the characteristics of air-cooled turbine blade design, a full-3D optimization platform for air-cooled turbine blades with air-film cooling was constructed, which can optimize the blades under the conditions of air-jet injection. Optimization of the platform using the 11 parameter method for modeling leaves. According to the requirements of the modeling method and optimization design, the selection of optimization variables and the optimization strategy and the setting of optimization objectives are discussed. The multi-island genetic algorithm is used to optimize the optimization problem. The platform is used to optimize the first stage vane of an aviation turbine. Due to the weighted processing of different targets, the leaf shape of the optimization scheme presents different characteristics with the different emphasis on the optimization target, and the aerodynamic efficiency and cooling effect are both improved.