Stator Optimization Design of Radial Piston Hydraulic Motor Based on Improved Particle Swarm Algorithm

Radial piston hydraulic motors are widely used in engineering attributed to their lightweight, compactness, and high efficiency. However, internal vibration and shock during operation can influence the performance of the motor. In this study, the stator curve composition and motion characteristics of radial piston hydraulic motors were investigated. Specifically, an improved particle swarm algorithm was extracted to optimize the internal curve of radial piston hydraulic motors with adaptive nonlinear dynamic inertia weights, a good point-set initial population strategy, and a competitive optimization strategy with multiple sub-populations. Additionally, iso-acceleration curves with compensation zones were reconstructed to minimize abrupt changes in shock and contact stresses. The optimized stator was subjected to force analysis with the method of maximum stress-life analysis. Furthermore, the motor fatigue life was accurately evaluated by finite element analysis. The results suggest that the enhanced particle swarm algorithm, which achieved a 34.63% increase in optimization efficiency, can be utilized to design radial piston hydraulic motor stators swiftly and effectively. Moreover, the optimization of the stator brought about a 27% increase in the motor's actual lifespan.