离心压缩机回流器叶片的优化设计  

Optimization Design of Return Channel Blades in Centrifugal Compressor

作　　者：尹熙文 王剑[1] 范永生 闻苏平[1] 卢傅安[2] 张鹏刚[2] Xi-wen Yin;Jian Wang;Yong-sheng Fan;Su-ping Wen;Fu-an Lu;Peng-gang Zhang(Xi’an Jiaotong University;Shenyang Blower works Group Corporation)

机构地区：[1]西安交通大学能源与动力工程学院,陕西西安710049 [2]沈阳鼓风机集团股份有限公司

出　　处：《风机技术》2018年第1期16-22,70,共8页Chinese Journal of Turbomachinery

基　　金：国家自然科学基金重点项目(项目编号51236006)

摘　　要：通过对回流器叶片参数化建模,使用CFD技术与人工神经网络以及遗传优化算法相结合的方法,对离心式压缩机基本级D-ARV回流器叶片型线进行了优化设计。优化后回流器叶片折转角变小,叶片厚度减小,叶片呈现三元结构。研究结果表明:优化后的回流器三元叶片有效减少了回流器流道内部的流动损失,提高了静压恢复系数并且改善了回流器流道内部的气流分布均匀性。三元回流器叶片在变工况条件下能显著提高离心式压缩机基本级的整级气动性能,整级多变效率η_(pol)在流量系数φ_1为0.026时提高了2.32%。Through the parametric modeling for the return channel blades,the blades profile of return channel basic stage(R)is optimal designed by genetic algorithm and the method of combined with artificial neural network and CFD technology.The camber angle and the blades thickness became smaller after optimization,the return channel blades shows the 3D structure.The research shows that optimized three dimensional blade reduce the flow loss in return channel,increase the static pressure recovery coefficient and improve the flow uniformity in flow passage of return channel.Three dimensional return channel blades improve the whole stage aerodynamic performance remarkably at the variable working conditions.The polytropic efficiencyηpol of stage increases by 2.32%when flow coefficientφ1 is equal to 0.026.

关 键 词：离心压缩机 回流器 人工神经网络 遗传优化算法 

分 类 号：TH452[机械工程—机械制造及自动化] TK05[动力工程及工程热物理]