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MULTI-OBJECTIVE OPTIMIZATION IN AXIAL COMPRESSOR DESIGN USING A LINKED CFD-SOLVER

机译:使用链接的CFD求解器的轴流压缩机设计中的多目标优化

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In combination with a multi-objective 3D optimization strategy, a linked CFD-solver is presented in this paper, combining 3D-Reynolds-averaged-Navier-Stokes and an inviscid throughflow method. It enables the adjustment of the 3D boundary conditions for any design variation and contains new options for configuring the objective functions. The link is achieved by matching the flow information between both CFD codes in an iterative procedure. Compared to an individual 3D-CFD calculation, the convergence does not take significantly longer.The potential of the linked CFD-solver is demonstrated in a multi-objective optimization for one blade row to be optimized and one operating point at a 3-stage axial compressor with inlet guide vane. Within the optimization, the objective functions are formulated, so that the performance of the axial compressor is enhanced in addition to the improved efficiency of the 3D-cascade.
机译:结合多目标3D优化策略,本文提出了一种链接的CFD求解器,该方法将3D-雷诺平均Navier-Stokes与无粘性通流方法相结合。它可以针对任何设计变化调整3D边界条件,并包含用于配置目标函数的新选项。通过以迭代过程匹配两个CFD代码之间的流信息来实现链接。与单个3D-CFD计算相比,收敛不会花费更长的时间。 链接的CFD求解器的潜力在多目标优化中得到了证明,其中一个要优化的叶片行和一个带有入口导向叶片的3级轴流式压缩机的一个工作点。在优化过程中,制定了目标函数,因此,除了提高了3D级联的效率外,还提高了轴向压缩机的性能。

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