摘要
提出了一种多目标差分进化算法(MDE),典型函数试验结果表明该算法具有优秀的多目标寻优能力,满足多目标气动优化设计的要求。耦合并行多目标差分进化算法、三次B样条曲面造型方法和CFD求解技术,提出了新的轴流式叶轮机械叶栅三维多目标气动优化设计方法。选择等熵效率和总压比为目标函数,完成了NASA Rotor37转子叶栅的多目标气动优化设计．优化后叶栅的气动性能明显提高,表明该方法具有良好的优化性能和应用前景．
A new multi-objective optimization algorithm named as Multiobjective Differential Evolution （MDE） is proposed and the typical mathematical test demonstrates the excellent optimization performance of MDE. A new parallel multi-objective aerodynamic optimization method, combined with the parallel MDE, surface modeling method and CFD technique, is developed for multi-objective optimization design of the 3D axial turbomachinery cascades. The transonic compressor cascade, NASA Rotor 37, is optimized for the maximization of the isentropic efficiency and the total pressure ratio. The optimal designs show a much better aerodynamic performance than that of the reference design. It demonstrates that the presented optimization method has good performance and is adapted to the aerodynamic design for turbomachinery cascades.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2007年第2期223-225,共3页
Journal of Engineering Thermophysics
关键词
多目标
差分进化算法
气动优化
压气机叶栅
multi-objective
differential evolution algorithm
aerodynamic optimization
compressor cascade
