Due to the relatively complex structure of piston pump valve pair,the traditional trial and error method will not only lengthen the design cycle,but also difficult to obtain the best structural parameters.In order to take account of multiple perfor-mance indexes of the end flow distribution pairs,a mathematical model of the end flow distribution pairs of an axial piston pump was established,and the model was solved by using the multi objective particle swarm optimization algorithm based on adaptive mesh and crowding distance.The results show that the objective functions of the algorithm keep good convergence and global adaptability,the parameters of the flow pair defined can find the Pareto optimal solution,and maintain good distribution of the obtained solution,and improve the efficiency of structural optimization design.The oil film stiffness of the optimized valve pair in-creases,and the leakage flow of the optimized valve pair decreases about 8.6％compared with that before optimization under dif-ferent oil film thickness and oil supply pressure,which verifies the applicability and superiority of the model and algorithm.
关键词
配流副/多目标粒子群算法/优化设计/Pareto最优解
Key words
Flow Distribution Pair/Multi-Objective Particle Swarm Optimization Algorithm/Optimization De-sign/Pareto Optimal Solution
维普
万方数据