Title of article :
Fluid Dynamic Characteristics and Flow Distribution Structure Optimization of Axial Piston Pump Considering Cavitation Bubble Evolution
Author/Authors :
Pan, Y Country College of Mechanical and Electrical Engineering - Hunan University of Science and Technology - Xiangtan 410083, China , Chen, A. H Country Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment - Hunan University of Science and Technology - Xiangtan, China , Wang, Z. N Country College of Mechanical and Electrical Engineering - Hunan University of Science and Technology - Xiangtan 410083, China
Abstract :
An axial piston pump can produce a serious cavitation phenomenon in the high- and low-pressure transition process. Cavitation bubbles expand, compress, rebound and collapse when they enter the high-pressure oil drainage area. This affects the outlet flow ripple as well as the pressure pulsation of the piston pump. However,
the effect of the cavitation bubbles is ignored in the current outlet flow ripple model of axial piston pumps. It affects the optimization design of the axial piston pump distribution area structure parameters with the objective
of reducing the pressure and flow rate. Therefore, a method of optimizing the fluid dynamic characteristics and
the flow distribution area structure parameters of an axial piston pump considering the cavitation bubble
evolution is proposed. A single-cavity dynamic model was established to study the bubble evolution as the
piston chamber pressure changes. According to the cavitation cloud (group cavitation) characteristics of the
axial piston pump, theoretical models of the outlet flow ripple and the pressure pulsation of a piston pump were
established considering the cavitation bubble characteristics. The influence of cavitation characteristics on the
outlet flow ripples and pressure pulsation of the axial piston pump was analyzed and compared with that without
cavitation. Comparison with the experimental results, verified that the outlet flow ripple model becomes more
accurate when cavitation bubble characteristics are considered. Based on the multi-agent particle swarm
optimization (MAPSO) algorithm, an optimization model of the piston pump outlet flow ripple was established
considering the cavitation bubble characteristics. The optimized design parameters for the flow distribution area
of the axial piston pump were evaluated. The proposed method can provide theoretical guidance for the design of a low flow ripple axial piston pump.
Keywords :
Axial piston pump , Cavitation bubble , Flow ripple , MSPOS , Optimization
Journal title :
Journal of Applied Fluid Mechanics (JAFM)
