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Assessing Turbomachinery Performance Sensitivity to Boundary Conditions Using Control Theory

机译:使用控制理论评估涡轮机械对边界条件的性能敏感性

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The adjoint method is extended to assess the sensitivity of turbomachinery performance with respect to inlet and exit boundary conditions. The derivation of the adjoint and sensitivity equations are briefly derived in general form, such that they can be applied to any set of flow-governing equations. In this paper, the Reynolds-averaged Navier-Stokes equations have been used, where the k-ω turbulence model has been selected. A compressor rotor blade test case is studied for verification and demonstration of the methodology. The adjoint-based sensitivities are verified using finite differences. The sensitivities of efficiency and pressure ratio with respect to the boundary condition parameters prescribed at each computational grid node at the inlet and exit faces of the blade passage are illustrated in the form of contour plots. Circumferentially averaged values and sensitivities demonstrate that fuller, more uniform profiles lead to improved performance, in line with basic thermodynamic principles. Two examples of modifying either inlet or exit boundary profiles, according to the sensitivity data obtained, show that performance tuning can be achieved. The sensitivity assessment approach presented is shown to be accurate and extremely efficient, while providing the designer with valuable information and insights to achieve a robust design.
机译:扩展了伴随方法,以评估涡轮机械性能相对于入口和出口边界条件的敏感性。伴随方程和灵敏度方程的推导以一般形式简要推导,从而可以将它们应用于任何流动控制方程组。在本文中,使用了雷诺平均Navier-Stokes方程,其中选择了k-ω湍流模型。研究了压缩机转子叶片测试案例,以验证和论证该方法。使用有限差分来验证基于伴随的灵敏度。以等高线图的形式示出了效率和压力比对在叶片通道的入口和出口处的每个计算网格节点处规定的边界条件参数的敏感性。沿周平均值和灵敏度表明,更充分,更均匀的轮廓可以改善性能,符合基本的热力学原理。根据获得的灵敏度数据修改入口或出口边界轮廓的两个示例表明,可以实现性能调整。所展示的灵敏度评估方法被证明是准确且极其有效的,同时为设计师提供了有价值的信息和见解,以实现可靠的设计。

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