摘要
以Isight为优化平台,通过集成三维造型程序、CFD计算程序与多岛遗传算法,搭建了一套三维造型优化设计系统。以高效高负荷多级轴流压气机的前两级为研究对象,针对第一级静子根区存在的角区分离,对其50%叶高以下的3个主要叶片造型控制参数的径向分布形式进行了优化。结果表明:优化叶型有效削弱了第一级静子的角区分离,根部区域的总压恢复系数最大增加了1.8%,且改善了级间匹配,提高了压气机效率。
With Isight as an optimization platform,a3D optimization design system of compressor blade was composed by3D blade design procedure,CFD procedure and multi-island genetic algorithm.For the first stage stator hub with corner separation,the first two stages of a high load multi-stage axial flow compressor were studied.The radial distribution of3main blading control parameters under the middle span was optimized.The optimization results show that the stator's total pressure recovery coefficient increased by1.8%as the corner separation was effectively weakened,and the improvement of the matching between stages increased the compressor efficiency.
作者
米攀
李清华
安利平
MI Pan;LI Qing-hua;AN Li-ping(AECC Sichuan Gas Turbine Establishment,Chengdu 610500,China)
出处
《燃气涡轮试验与研究》
北大核心
2017年第5期13-17,7,共6页
Gas Turbine Experiment and Research
关键词
航空发动机
轴流压气机
三维造型
数值优化
遗传算法
级匹配
aero-engine
axial flow compressor
3D profile
numerical optimization
genetic algorithm
stage matching
