大膨胀比向心涡轮多学科优化设计及敏感性分析

With complex internal flow，high power density and strict structural constraints，the design of a centripetal turbine needs to consider the strong coupling among multiple disciplines such as aerodynamics，strength，and structure. The adoption of multi-disciplinary optimization strategy is thereby a feasible way to enhance the aerodynamic efficiency and reliability of the centripetal turbine. According to the structural features of the centripetal turbine，a universal 3-D parameterized modeling method for the centripetal turbine was developed. Coupling the multi-objective optimization algorithm and the parameterization method，a multi-objective and multi-disciplinary optimization platform is established for the centripetal turbine. With the frequency taken as constraints，a multi-disciplinary optimization is carried out for the centripetal turbine to improve the total-to-static efficiency and reduce the maximum stress of the blade root. After optimization，for each performance parameter，the total-to-static efficiency of the turbine stage is improved by 1.35% and the maximum equivalent stress of the blade root is reduced by 12.54%，with all the dangerous resonant frequencies avoided. Furthermore，a sensitivity analysis of the design space is carried out to identify the design variables that have a significant impact on the performance indicators and to elucidate the underlying mechanism of the key design variables on the performance indicators.