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作 者:ZHAO Binjuan LIAO Wenyan XIE Yuntong HAN Luyao FU Yanxia HUANG Zhongfu
机构地区:[1]School of Energy and Power Engineering,Jiangsu University,Zhenjiang,Jiangsu 212013,China [2]School of Materials Science and Engineering,Jiangsu University of Science and Technology,Zhenjiang,Jiangsu 212003,China
出 处:《排灌机械工程学报》2021年第7期671-677,共7页Journal of Drainage and Irrigation Machinery Engineering
基 金:National Natural Science Foundation of China(51609107);Open Subject of Provincial and Ministerial Discipline Platform of Xihua University(szjj2018-123)。
摘 要:To increase the robustness of the optimization solutions of the mixed-flow pump,the impeller was firstly indirectly parameterized based on the 2D blade design theory.Secondly,the robustness of the optimization solution was mathematically defined,and then calculated by Monte Carlo sampling method.Thirdly,the optimization on the mixed-flow pump′s impeller was decomposed into the optimal and robust sub-optimization problems,to maximize the pump head and efficiency and minimize the fluctuation degree of them under varying working conditions at the same time.Fourthly,using response surface model,a surrogate model was established between the optimization objectives and control variables of the shape of the impeller.Finally,based on a multi-objective genetic optimization algorithm,a two-loop iterative optimization process was designed to find the optimal solution with good robustness.Comparing the original and optimized pump,it is found that the internal flow field of the optimized pump has been improved under various operating conditions,the hydraulic performance has been improved consequently,and the range of high efficient zone has also been widened.Besides,with the changing of working conditions,the change trend of the hydraulic performance of the optimized pump becomes gentler,the flow field distribution is more uniform,and the influence degree of the varia-tion of working conditions decreases,and the operating stability of the pump is improved.It is concluded that the robust optimization method proposed in this paper is a reasonable way to optimize the mixed-flow pump,and provides references for optimization problems of other fluid machinery.
关 键 词:mixed-flow pump multi-objective genetic optimization robust optimization response surface method 2D blade design theory
分 类 号:S277[农业科学—农业水土工程]
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