摘要
基于Pareto多目标算法构建了一套针对离心压缩机蜗壳的气动优化系统,该系统集成了参数化建模、ICEM网格划分、CFX计算和CFD组合优化技术.利用该系统以总压损失系数和静压恢复系数为目标变量针对椭圆截面离心压缩机蜗壳进行气动优化设计.优化后的模型与初始模型相比总压损失系数降低11.79%,静压恢复系数升高16.97%,蜗壳内部二次流减少,蜗壳与叶轮更加匹配,表明该方法能够有效地提高离心压缩机的整体性能.
A centrifugal compressor aerodynamic optimization system based on Pareto multi-objective algorithm was established. The system integrated the parameterized geomet- ric model, ICEM （integrated computer engineering and manufacturing） mesh generation, CFX （computational fluid dynamics X） computation and CFD combined optimization technique. Using this system, the optimization was implemented for a centrifugal compressor volute, and the total pressure loss coefficient and static pressure recovery coefficient were chosen as target variables. Compared with prototype design, the average total pressure loss coefficient of optimal design decreased by 11.79% and the average static pressure recovery coefficient increased by 16.97%. Meanwhile, the secondary flow inside the volute was reduced to a certain degree, and the volute matched better with the impeller. The results show that the multi-objective optimization system is effective to the performance of the centrifugal compressor.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2016年第1期92-99,共8页
Journal of Aerospace Power
基金
国家自然科学基金(11202132)
2011先进航空发动机协同创新计划
关键词
Pareto多目标算法
离心压缩机
蜗壳
总压损失
气动优化
Pareto multi-objective algorithm
centrifugal compressorvolute
total pressure loss
aerodynamic optimization
