Dynamic-model-based multi-objective optimization of valve plate for vibration reduction in axial piston pumps
Shaogan Ye, Yutao WANG, Yue Bao, Jing LUO, Shoujun Zhao, Huixiang Liu, Min YU
Abstract
Axial piston pumps are widely used to supply the fluid power, but their significant vibration has become a growing concern. To address this issue, this paper presents a novel dynamic model for the axial piston pump and mitigates both flow fluctuation and mechanical vibration powers through a multi-objective optimization method. A Lumped-Parameter (LP) model is first introduced to describe dynamic behaviors of the entire pump assembly, and the Newmark- β method is adopted to calculate flow fluctuation and mechanical vibration powers. Experimental validation is conducted to ensure the accuracy of the proposed model. Using this validated model, a multi-objective optimization algorithm is employed to optimize the structural parameters of three representative valve plate types, aiming to simultaneously reduce flow fluctuation and mechanical vibrations. The optimization results demonstrate a significant reduction in the pump vibration power, as well as improvements in cavitation and pressure overshoot conditions. Among these optimized designs, the valve plate with hole-shaped damping grooves shows the lowest vibration power, while the valve plate with the triangular damping grooves achieves the lowest maximum piston chamber pressure. This study offers a promising approach for designing quieter axial piston pumps, which promotes the fluid power technology.