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大功率汽轮机调节级动叶是典型小展弦比叶片。动叶通道内上下通道涡交汇,流动呈现强烈的三维特性,其设计优化本质上是一个三维优化问题。结合自适应多目标差分进化算法、基于能量法的三维叶片造型方法和RANS方程求解技术,发展了轴流式叶栅三维多目标气动优化设计方法。利用该方法,完成了某典型大功率汽轮机调节级多目标气动优化设计。优化后小展弦比调节级气动性能明显提高,表明该方法具有良好的优化性能和应用前景。
High-power steam turbine governor bucket leaf is a typical small aspect ratio leaves. The vortex channels in the upper and lower vortex channels converge and the flow presents a strong three-dimensional characteristic. The design optimization is essentially a three-dimensional optimization problem. Combined with the adaptive multi-objective differential evolution algorithm, the three-dimensional blade modeling method based on energy method and the RANS equation solving technique, a three-dimensional multi-objective aerodynamic optimization design method of axial flow cascade is developed. Using this method, the multi-objective aerodynamic optimization design of a typical high-power steam turbine governing stage has been completed. The aerodynamic performance of the small aspect ratio control stage after optimization is obviously improved, which shows that this method has good optimization performance and application prospect.