Abstract
The triangular damping groove on the valve plate can effectively reduce the discharge flow ripple of an axial piston pump, which structural parameters will directly affect the pump’s dynamic characteristics. Herein, a multi-parameter data-based structure optimizing method of the triangular damping groove is investigated using numerical models and simulation results. The mathematical models of a nine-piston pump are proposed and developed by MATLAB/Simulink, and the simulation results are verified by experimental results. Then, the effects of width angle and depth angle on discharge flow are analyzed. Based on the analysis of groove parameters, an optimizing index, which considering the time domain characteristics of discharge flow, is proposed. As results show, comparing with the initial specific groove structure, the amplitude of flow ripple is reduced from 14.6% to 9.8% with the optimized structure. The results demonstrate that the outlet flow ripple can be significantly reduced by the optimized structure, and the proposed multi-parameter optimizing method can play a guiding significance in the design of low-ripple axial piston pumps.
Highlights
In the hydraulic drive systems, fixed displacement axial piston pumps are essential and widely used in machining, transportation, aerospace, and other industrial fields due to their high power-to-weight ratio and wide operating range
This paper presents a method to optimize triangular damping groove, which is based on the dynamic characteristics of discharge flow
The pressure pressureininthe thepiston piston chamber is calculated based on certain operating conditions of the chamber is calculated based on certain operating conditions of the pump, pump, and flow of apiston single chamber piston chamber is calculated using Formula
Summary
In the hydraulic drive systems, fixed displacement axial piston pumps are essential and widely used in machining, transportation, aerospace, and other industrial fields due to their high power-to-weight ratio and wide operating range. With the development of pump design and manufacturing, the damping groove on the valve plate was carried out and could effectively reduce the flow ripples. [10] proposed a multi-disciplinary optimization design method based on the approximation model to improve the comprehensive performance of axial-flow pump impellers, which considered the interaction and mutual influences of the hydraulic and structural designs. With the development of the computational accuracy of the numerical models, researchers have applied numerical models to the structural optimization of axial piston pumps It is a more efficient and effective way compared with the actual test. Based on a multi-objective optimization genetic algorithm, with pressure and flow value as optimization targets, the pre-compression and decompression angle of the kidney groove on a swash plate was optimized using the computational fluid dynamics (CFD) method.
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