Optimization design for axial pump based on genetic algorithm
TAO Ran1,2, XIAO Ruofu2*, YANG Wei2
1.College of Water Resources and Civil Engineering, China Agricultural University, Beijing 100083, China; 2.Beijing Engineering Research Center of Safety and Energy Saving Technology for Water Supply Network System, China Agricultural University, Beijing 100083, China
Abstract:Hydrodynamics design and optimization were conducted for an axial pump impeller.The optimization target was to improving the hydraulic performance of the axial pump by keeping the design requirements. During the optimization process, the blade angles were set as the optimization parameters. The genetic algorithm with binary coding was used as the optimization method. The hydraulic efficiency was defined as the optimization target function. The computational fluid dynamics(CFD)was used to solve the fitness function value. Verification results show that the hydrodynamic performances satisfied the requirements after optimization. The hydraulic efficiency is enhanced from 81.68% to 86.19%, the pump head also increases from 3.73 m to 4.56 m. Flow analysis shows that the head increased due to the higher-pressure difference between the suction and pressure sides of the impeller blades. Based on the hydraulic loss analysis, the efficiency increased because of the lower hydraulic losses in the pump. At the same time, the best efficiency point moved to the design condition with a wider high-efficiency region. This mathematical optimization for axial pump is fast and effective to improve the hydraulic performances based on the initial design.
陶然,, 肖若富*, 杨魏. 基于遗传算法的轴流泵优化设计[J]. 排灌机械工程学报, 2018, 36(7): 573-579.
TAO Ran,, XIAO Ruofu*, YANG Wei. Optimization design for axial pump based on genetic algorithm. Journal of Drainage and Irrigation Machinery Engin, 2018, 36(7): 573-579.
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