Study On Structural Optimization Of Damping Groove For Axial Piston Pump Based On Improved Genetic Algorithm

With the arrival of "China Manufacturing 2025",the hydraulic industry has officially entered the 4.0 era.In this context,hydraulic technology will have a greater challenge,and the performance requirements of components and systems will become more and more important.The piston pump is the power source of the hydraulic system,which is the core component of the mechanical energy transfer.However,due to its unique structure and complex working principle,it is inevitable in the process of working,which can be used in the work of the whole hydraulic system,which can affect the use of the system.This paper takes swash plate axial piston pump as the research object and takes reducing its fluid noise as the research object.By investigating and summarizing the research status of noise reduction technology,this paper proposes to use swarm intelligence algorithm to realize the optimization of piston pump noise reduction,and defines the main research content and research method of this paper.Expounds the swash plate axial piston pump after the composition of the structure and working principle of the changes occurring in the process of flow on the instantaneous pressure is analyzed,with no pressure differential transition peak pressure gradient under the condition of minimum as the optimization goal,set up the included Angle of vibr ation damping groove width,depth Angle,the fault opening corner and valve plate supporting the four parameters of mathematical physics equations,and take it as the objective function of optimization.The traditional genetic algorithm is easy to fall into local convergence,unable to jump out of local optimal solution and other shortcomings,in view of this,this paper proposes a genetic algorithm based on the strategy of elite reserves,combined with the tournament selection strategy,simulation of binary crossover and the method of binomial variation on the traditional genetic algorithm is optimized to improve,and then using the test function,the feasibility and accuracy of the improved algorithm are verified.The improved genetic algorithm was used to optimize the objective function,and the new structural parameters of the damping tank were determined and modeled.By using professional fluid simulation software Pump Linx,the dynamic flow distributio n process of the piston pump before and after optimization was numerically simulated,and the flow characteristics of the pump under different oil suction pressure,load pressure and rotation speed were obtained.Then,the flow field characteristics of th e piston pump under the same boundary conditions before and after optimization are compared and analyzed from the aspects of pressure cloud diagram,velocity vector size,pressure fluctuation at the damping groove,flow rate and pressure pulsation at the outlet of the piston pump.Finally,the numerical simulation of the fluid noise of the piston pump was carried out by the acoustic software Actran.The sound pressure cloud image,vibration displacement cloud image,total sound pressure level and spectrum curve at the sound field monitoring point of the piston pump before and after optimization were compared and analyzed,which further verified the improvement of the optimization model in the noise reduction performance.It provides a reference method and relevant theoretical basis for the research of noise reduction optimization of piston pump.