摘要
以实验研究为基础,利用以均匀试验设计法、最小二乘拟合和遗传算法寻优相结合的混合优化方法进行了环形扩压叶栅弯曲匹配数值优化研究。结果表明,优化的弯角和弯高范围随叶型折转角的增大而减小,合理选择弯曲方案将可以达到改善角区流动、减小损失的目的;叶片弯曲优化匹配设计可扩展现代压气机中弯曲叶片的应用范围,也表明了在大转角压气机中采用弯曲叶片设计方法的巨大潜力。
On the basis of the experimental study, hybrid optimization approach combined Uniform Design of Experiment method, least square approximation with Genetic Algorithms is used to optimize the matching of bowed height and bowed angle in annular compressor cascades with different solidities. The results show that the areas of the optimal bowed angle and bowed height decrease with the increase of camber angles. Correctly selected bowed blade can reduce the energy loss and improve the corner flow. The matching design of bowed blade extends its application to modern advanced compressors, indicating the large potential of the design method of the bowed blade in the highly-loaded compressor cascade.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2008年第2期225-227,共3页
Journal of Engineering Thermophysics
基金
国家自然科学基金项目(No.50646021)
高等学校博士学科点专项科研基金项目(No.20060213007)资助
关键词
压气机
弯曲叶片
稠度
遗传算法
compressor
bowed blade
solidity
genetic algorithm
