液压与气动2025，Vol.49Issue(2)：96-107,12.DOI:10.11832/j.issn.1000-4858.2025.02.011
基于多目标麻雀搜索算法-反向传播的轴向柱塞马达低脉动优化设计
Low Pulsation Optimization Design of Axial Piston Motor Based on Multi-objective Sparrow Search Algorithm and Back Propagation
摘要
Abstract
Aiming at the problem that the rotary motor of a medium tonnage excavator produces large noise during operation,the swash plate axial piston rotary motor is taken as the research object,and the dynamic simulation of the axial piston motor is carried out by using the flow field simulation method.The influence of the structure and parameters of different damping groove on the piston plate on the pressure pulsation of the piston cavity and the flow pulsation at the outlet is explored.Combined with multi-objective sparrow search algorithm,the damping groove parameters are optimized,and the optimal damping groove parameters are obtained.The results show that the pressure and flow pulsation of the piston motor can be suppressed to some extent by increasing the depth and width of the damping groove in a certain range,and the U-shaped damping groove is superior to the triangular damping groove.After optimizing the U-shaped groove structure parameters,the pressure pulsation amplitude of the motor piston cavity and the motor outlet flow pulsation decreased by 4.38 MPa and 17.44％respectively.The reliability of the simulation results and the optimization method are indirectly verified by the motor noise test.关键词
轴向柱塞马达/流场仿真/压力脉动/流量脉动/多目标优化Key words
axial piston motor/flow field simulation/pressure pulsation/flow pulsation/multi-objective optimization分类
机械制造引用本文复制引用
陈远玲,唐瑾,石浩,熊文才,周宗池,任晓智..基于多目标麻雀搜索算法-反向传播的轴向柱塞马达低脉动优化设计[J].液压与气动,2025,49(2):96-107,12.基金项目
广西重点研发计划(桂科AB23026113) （桂科AB23026113）
广西科技重大专项(桂科AA23062092) （桂科AA23062092）
