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PARAMETRIC STUDY OF A FAN BLADE CASCADE USING A NEW PARAMETRIC FLOW SOLVER TURB'OPTY

机译:新型叶片流动求解器涡轮参数对风机叶栅的参数研究

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The newly developed parameterized CFD solver Turb'Opty~(TM) based on a Taylor series expansion to high order derivatives of the solutions of the discretized Navier-Stokes equations, has been successfully applied to the turbulent incompressible flow field of an engine cooling fan blade cascade. Comparisons with the classical CFD results have validated the accuracy of the parameterized solutions obtained by a simple polynomial reconstruction around a reference solution with respect to two different flow parameters for two different cases: a fifth order expansion with respect to these coupled parameters for a frozen turbulence and a first order expansion with respect to each parameter for a variable turbulence. The latter is found to have a better accuracy and a larger range of application. Starting from a reference solution obtained with another commercial code has also been successfully tested. Finally, further industrial perspectives of turbomachinery global optimization are finally demonstrated by coupling this method with a simple genetic algorithm.
机译:基于泰勒级数展开式的离散化Navier-Stokes方程解的高阶导数,新开发的参数化CFD求解器Turb'Opty〜(TM)已成功应用于发动机冷却风扇叶片的湍流不可压缩流场级联。与经典CFD结果的比较已验证了针对两个不同情况的两个不同流参数,围绕参考解进行简单多项式重构得到的参数化解的准确性:针对冻结湍流,针对这些耦合参数进行了五阶展开以及针对可变湍流的每个参数的一阶展开。发现后者具有更好的精度和更大的应用范围。从以其他商业代码获得的参考解决方案开始,也已成功测试。最后,通过将该方法与简单的遗传算法结合,最终证明了涡轮机械全局优化的其他工业观点。

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