压气机叶片的传统优化设计存在设计变量多和优化周期长等不足． 为此，文中利用非均匀有理 B 样条基函数建立了转子流场网格自由变形参数化方法，并结合改进的拉丁超立方试验设计、Kriging 响应面模型及 NSGA-Ⅱ多目标遗传算法构建了转子叶片的气动优化设计体系． 计算结果表明: 在 98%的堵塞质量流量工况下，优化后的叶片总压比提高了 0. 33%，等熵效率提高了 0. 83%; 优化后压气机转子形状为前倾型叶片，提升了转子性能，降低了激波损失; 与传统优化设计方法相比，文中优化体系的设计变量明显减少，缩短了优化设计周期．

There exist the defects of multi design variables and long optimization cycle in the traditional optimum
design of compressor blades． In order to solve these problems，this paper proposes a free-form mesh deformation parameterization method of fluid grids by using a non-uniform rational B-spline basis function，and constructs an design system of aerodynamic optimization of rotor blades by combining the advanced design of Latin hypercube sampling experiments，the Kriging response surface model and the NSGA-Ⅱmulti-objective genetic algorithm． Calculation results show that (1) the optimized blade has a total pressure ratio improvement by 0．33% and an isentropic efficiency improvement by 0．83% at a choke mass flow of 98%; (2) the optimized blade is a forward-leaned blade，which helps reduce the shock loss and improve the performance of the rotor; and (3) in comparison with the traditional optimization design method，the proposed optimization system reduces design variables and shortens optimized cycles．