首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Three-objective optimization of a centrifugal pump with double volute to minimize radial thrust at off-design conditions
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Three-objective optimization of a centrifugal pump with double volute to minimize radial thrust at off-design conditions

机译:具有双蜗壳的离心泵的三目标优化,可将非设计条件下的径向推力降至最低

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摘要

Optimization of a centrifugal pump with double volute was performed using surrogate modeling and a multi-objective genetic algorithm to minimize the radial thrust at off-design conditions with minimal loss in hydraulic efficiency. Both steady and unsteady numerical analyses were conducted using three-dimensional Reynolds-averaged Navier-Stokes equations with a shear stress transport turbulent model. The three objective functions are hydraulic efficiency at the design flow rate, and radial thrust coefficient at 70% and 120% of the design flow rate. In addition, three geometric parameters related to the surface curve and the locations of both ends of the rib structure were selected as the design variables for optimization. The Latin hypercube sampling method was used to choose the design points in the design space. The three objective functions were approximated using response surface approximation models. Pareto-optimal solutions representing the trade-off between the objective functions were obtained using a genetic algorithm. Representative optimal designs show that the optimized double volutes significantly reduce both the radial force and the amplitude of the radial force fluctuation with small loss in hydraulic efficiency.
机译:使用代理模型和多目标遗传算法对具有双蜗壳的离心泵进行了优化,以最大程度地减小非设计工况下的径向推力,从而使液压效率损失最小。使用三维雷诺平均Navier-Stokes方程和剪切应力传输湍流模型进行了稳态和非稳态数值分析。这三个目标函数是设计流量下的液压效率,以及设计流量的70%和120%时的径向推力系数。另外,选择与表面曲线和肋结构两端位置有关的三个几何参数作为优化设计变量。使用拉丁超立方体采样方法在设计空间中选择设计点。使用响应面近似模型对三个目标函数进行了近似。使用遗传算法获得代表目标函数之间折衷的帕累托最优解。代表性的最佳设计表明,优化的双蜗壳可显着减小径向力和径向力波动幅度,而液压效率损失很小。

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