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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: The valve plate inside the swash-plate axial piston pump was used to switch the high and low pressure oil. To improve the pressure-flow characteristics of the pump, the optimal design for damping groove on valve plate was of great importance.A multi-parameter optimization method based on multi-objective genetic algorithm was proposed, in order to effectively improve the efficiency of the groove structure optimization. Firstly, the relationship between the configuration of the damper groove of the valve plate and the output pressure-flow characteristics was analyzed theoretically. Computational fluid dynamics(CFD) method was used to calculate the pressure-flow characteristics of the original structure, and the relationship between the outlet flow pulsation characteristics and the damping groove structure was analyzed. Then, the flow field characteristics of different damping grooves were calculated, and the influence laws of the radius, length and deflection angle of the damping groove on the output pressure-flow characteristics were analyzed. Finally,using multi-objective genetic algorithm, the optimal structure of cylindrical damping tank was obtained by solving the problem of reducing outlet flow pulsation and pressure impact, and the simulation results of the original structure were compared to verify the optimal effect.The optimization effect was significant. The simulation results show that the optimal structural parameters are the damping groove radius of 2.21 mm, the damping groove length of 10.32 mm and the damping groove deflection angle of 16.54°. Comparing with the original structure, the pressure pulsation rate is reduced by 0.16%, and the flow pulsation rate is reduced by 43.59 %. The research results show that the structural parameters of the damping tank have a significant impact on the pressure-flow characteristics of the piston pump. The optimization analysis of the flow field model by genetic algorithm effectively reduces the modeling link of parameter optimization by enumeration method, and greatly improves the optimization efficiency of the damping tank structure.
Key words: valve plate; damping groove; pressureflow characteristic; genetic algorithm; optimization of parameters; computational fluid dynamics (CFD)
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