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Sediment-wear morphology prediction method of hydraulic machine based on differential-quadrature method

机译:基于差分正交方法的液压机沉积物磨损形态预测方法

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摘要

Damage caused by abrasive wear is a significant problem for hydraulic machinery in rivers with sediments. Traditional prediction methods of abrasive wear morphology with the fixed geometrical boundary are difficult to reflect the physical reality of wear because of the interaction of sediment wear, flow pattern and flow boundary. In this study, a gradual wear method based on the idea of differential-quadrature is established to investigate the asymptotic wear behavior of hydraulic machinery. The average wear rate and depth of voxels on the geometrical boundary can be obtained by the unsteady numerical simulation with RNG k-epsilon turbulent model and DPM multiphase flow model. Segmented voxels of geometrical boundary of flow are reconstructed after a calculation period until the end of the total running time. So, the progressive wear morphologies of flow-passage walls can be revealed step by step. The prediction method is used to predict the wear of the clearance flow in the guide vane. The numerical results are in good agreement with the actual wear depth on the wear surfaces at the actual running time, which indicates that the specified prediction method in this paper is applicable and effective.
机译:磨损造成的损伤是沉积物河流液压机械的重大问题。由于沉积物磨损,流动模式和流边界的相互作用,难以反映磨损磨损形态的传统预测方法。在这项研究中,建立了一种基于差分正交思想的逐渐磨损方法,以研究液压机械的渐近磨损行为。通过RNG K-EPSILON湍流模型和DPM多相流模型的不稳定数值模拟,可以获得几何边界上的平均磨损率和深度。在计算时段之后重建流量的几何边界的分段体素,直到总运行时间结束。因此,可以逐步揭示流动通道壁的渐进式磨损形态。预测方法用于预测导叶片中的间隙流的磨损。数值结果与实际运行时间的磨损表面上的实际磨损深度吻合良好,这表明本文中的指定预测方法适用而有效。

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