Jin-Woo Kim, J. Suh, Young-Seok Choi, Kyoung-Yong Lee, T. Kanemoto, Jin-Hyuk Kim
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引用次数: 5
Abstract
In this study, a counter-rotating-type pump-turbine unit was optimized to improve the pump and turbine mode efficiencies simultaneously. Numerical analysis was carried out by solving three-dimensional Reynolds-averaged Navier–Stokes equations using the shear stress turbulence model. The hub and tip blade angles of the rear impeller (in the pump mode) were selected as the design variables by conducting a sensitivity test. An optimization process based on steady flow analysis was conducted using a radial basis neural network surrogate model with Latin hypercube sampling. The pump and turbine mode efficiencies of the unit were selected as the objective functions and they combined into a single specific objective function with the weighting factors. Consequently, the pump and turbine mode efficiencies of the optimum design increased simultaneously at overall range of flow rate, except for low flow rate of turbine mode, compared to the reference design.
期刊介绍:
This comprehensive journal provides the latest information on rotating machines and machine elements. This technology has become essential to many industrial processes, including gas-, steam-, water-, or wind-driven turbines at power generation systems, and in food processing, automobile and airplane engines, heating, refrigeration, air conditioning, and chemical or petroleum refining. In spite of the importance of rotating machinery and the huge financial resources involved in the industry, only a few publications distribute research and development information on the prime movers. This journal is the first source to combine the technology, as it applies to all of these specialties, previously scattered throughout literature.