摘要
通过并行遗传算法对两级风扇第一级跨声速转子进行优化设计,并利用Denton黏性体积力方法对流场进行计算,采用NUMECA软件对优化结果进行验证。通过优化,转子设计点效率提高0.8个百分点,两级风扇效率至少提高0.5个百分点。
The parallel genetic algorithm was used to optimize the design of first-stage transonic rotor of the two-stage fan, and the flow field was calculated by Denton viscous volume force method. The optimization result was verified by NUMECA software. Through optimization, design point efficiency of the rotor is increased by 0.8 percentage points while the efficiency of the two-stage fan is increased by at least 0.5 percentage points.
出处
《机械制造》
2017年第6期18-20,共3页
Machinery
关键词
遗传算法
风扇
转子
优化
Genetic Algorithm Fan Rotor Optimization
