CAJ | 학술논문

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．
압기궤협편적전통우화설계존재설계변량다화우화주기장등불족．위차，문중이용비균균유리 B 양조기함수건립료전자류장망격자유변형삼수화방법，병결합개진적랍정초립방시험설계、Kriging 향응면모형급 NSGA-Ⅱ다목표유전산법구건료전자협편적기동우화설계체계．계산결과표명：재98％적도새질량류량공황하，우화후적협편총압비제고료0．33％，등적효솔제고료0．83％；우화후압기궤전자형상위전경형협편，제승료전자성능，강저료격파손실；여전통우화설계방법상비，문중우화체계적설계변량명현감소，축단료우화설계주기．
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 pa-rameterization method of fluid grids by using a non-uniform rational B-spline basis function,and constructs an de-sign system of aerodynamic optimization of rotor blades by combining the advanced design of Latin hypercube sam-pling 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 efficien-cy 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 op-timization design method,the proposed optimization system reduces design variables and shortens optimized cycles.