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A new curvature-controlled stacking-line method for optimization design of compressor cascade considering surface smoothness

机译:考虑表面光滑度的压气机叶栅优化设计的曲率控制堆积线新方法

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The paper presents an advanced parametric method of blade stacking lines in terms of sweep and lean based on controlled curvature. To the knowledge of the authors, there is no related approach reported in open literature that uses Bezier spline as the radial curvature distribution to improve the smoothness of the blade surface; most previous studies ignored the discontinuous slopes of curvature of the parametric curves. The parametric method called curvature-controlled stacking-line method (CCSLM) is performed by changing the magnitude of the sweep or lean. A fourth Bezier spline is adopted to define the curvature of spanwise stacking line directly ensuring surface smoothness. Then, the redesign cascades are created by sectional profiles stacked along the radial stacking lines which are obtained by twice integrating the Bezier spline. Then, the advanced method is conducted to optimize a high-subsonic controlled diffusion airfoil at design point, where the blade shape is generated in terms of lean. A single-objective optimization is performed using Kriging model and genetic algorithm to optimize total pressure loss, and the optimized geometry is obtained. The optimization results show that the blade design CCSLM has significant effects on the endwall flow vortex as well as radial loading distribution. The reduction of total pressure loss and secondary flow is also observed, and the aerodynamic performance is well improved compared with the original cascade.
机译:本文提出了一种基于控制曲率的扫掠和倾斜的先进的叶片堆积线参数化方法。据作者所知,在公开文献中没有相关的方法报道使用贝塞尔曲线作为径向曲率分布来改善叶片表面的光滑度。以前的大多数研究都忽略了参数曲线的不连续曲率斜率。通过更改扫掠或倾斜的幅度来执行称为曲率控制堆积线方法(CCSLM)的参数方法。采用第四个Bezier样条曲线来定义展向堆积线的曲率,直接确保表面光滑度。然后,通过沿径向堆叠线堆叠的截面轮廓创建重新设计的级联,该截面轮廓是通过对Bezier样条进行两次积分获得的。然后,采用先进的方法在设计点优化高亚音速控制的扩散翼型,在这种情况下,叶片形状是根据倾斜产生的。使用克里格模型和遗传算法进行单目标优化,以优化总压力损失,并获得优化的几何形状。优化结果表明,叶片设计CCSLM对端壁流动涡流以及径向载荷分布具有显着影响。还观察到总压力损失和二次流的减少,并且与原始级联相比,空气动力学性能得到了很好的改善。

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