Stator Curvature Optimization and Analysis of Axial Hydraulic Vane Pumps

Yongguo Sun (), Dong Xue, Shisheng Liu, Jinghang Wu and Xingyu Bai
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Yongguo Sun: School of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150008, China
Dong Xue: School of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150008, China
Shisheng Liu: School of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150008, China
Jinghang Wu: School of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150008, China
Xingyu Bai: School of Mechanical Power Engineering, Harbin University of Science and Technology, Harbin 150008, China

Energies, 2022, vol. 15, issue 17, 1-22

Abstract: Aiming at the problem of large vibration of a high-subside stator inner cavity curve vane pump, the force analysis of the vane at the transition curve is carried out, and the functional relationship between the vane turning angle θ , the large arc radius R , the small arc radius r and the sliding friction is established. The particle swarm algorithm is used to optimize the solution of the objective function, and the optimized parameter values are brought into the MATLAB simulation program to obtain the optimized stator curve profile diagram. The dynamic performance of the vane pump before and after optimization is simulated using ADAMS. The results show that: the acceleration of the vane pump slide is significantly reduced; the friction between the slide and the slide groove is significantly reduced; the contact force between the slide and the stator is significantly reduced; the impact vibration of the optimized vane pump is significantly reduced; and the dynamic performance of the vane pump is improved.

Keywords: stator; blade force analysis; algorithm optimization; dynamic performance (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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