自适应中心变异差分进化算法及其在涡轮叶型优化设计中的应用

为了更好地求解多维复杂函数优化问题,提出了自适应中心变异差分进化算法(SCDE),并以低温火箭发动机多级氧涡轮叶片的高精度气动型面优化设计为例进行了验证.使用商业软件进行三维叶片几何造型和单通道流场分析,计算得到涡轮效率作为优化设计评价指标.最终得到了合理的优化结果,涡轮效率相比初始设计提高了5.25%.

Self-adaptive center-mutation differential evolution and its application to shape optimization design of a turbine blade

A self-adaptive center mutation differential evolution (SCDE) was developed for the high-dimension complex optimization problems, and applied to the high fidelity aerodynamic optimization design of the multi-stage oxidizer turbine blade shapes for cryogenic rocket engines. Performances of design candidates were evaluated by the turbine efficiency based on the 3D airfoil geometry design and the full channel flow analysis using commercially available CAD and CFD packages. The reasonable solution is finally achieved that includes the turbine efficiency of the optimal design is 5.25% greater than that of the origin one.