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Numerical investigation of wet inflow in steam turbine cascades using NURBS-based mesh generation method

机译:基于NURBS的网格生成法测定汽轮机级联湿流入的数值研究

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In this paper, the impact of existence of wetness in the inflow of stationary cascades of steam turbine blades has been numerically investigated. A new mesh generation method based on non-uniform rational B-splines (NURBS) has been adopted to reduce the numerical error of the wet inflow simulation. Moreover, two common meshing scenarios namely blade-to-blade (B-B) and periodic-to-periodic boundary (P-P) are studied and different angle of the grid at the trailing edge have been considered. The classical nucleation theory corrected by Courtney-Kantrowitz model and the Young's droplet growth model are employed to simulate the condensation phenomenon. By validating against experimental data, the results showed that implementing the proposed NURBS-based meshing technique decreased the prediction errors of static pressure distribution and droplet average radius by 35.64% and 78.44%, respectively, in comparison to typical grid generation methods. In addition, it was observed that existence of wetness at inlet significantly decreased the supercooling degree and postponed the nucleation process. Thus, the nucleation rate could be ameliorated in the case when we have a specific amount of wetness fraction in the inflow.
机译:在本文中,在数值上研究了汽轮机叶片的静止级联流入中湿润的影响。已经采用了一种基于非均匀Rational B样条(NURBS)的新网格生成方法来减少湿流入模拟的数值误差。此外,研究了两个共同的网格场景,即刀片到叶片(B-B)和周期性定期边界(P-P),并且已经考虑了在后缘处的网格的不同角度。通过Courtney-Kantrowitz模型和年轻的液滴生长模型所纠正的经典成核理论用于模拟冷凝现象。通过验证实验数据,结果表明,与典型的电网生成方法相比,实施拟议的NURBS的啮合技术分别降低了35.64%和78.44%的静压分布和液滴平均半径的预测误差。此外,观察到入口处的湿度的存在显着降低了过冷度并推迟了成核过程。因此,当我们在流入中具有特定量的湿度分数时,可以改善成核速率。

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