Structural Optimization Design And Performance Test Of Magnetorheological Damper With Multiple Axial Fluid Flow Channels

With the continuous development of economic level,vehicles have become an essential means of transportation in our daily life,and people’s requirements for vehicle performance are getting higher and higher.The magnetorheological dampers are widely applied in the field of vehicle vibration damping.On the one hand,the output damping force of the damper is expected to be large to improve the smoothness of the vehicle;on the other hand,we hope that the damping force is adjustable in a wide range to increase the ride comfort.However,in the structural design of the damper and the process of vehicle driving,these performance requirements are contradictory.Therefore,a compact magnetorheological damper with good damping performance has important practical significance to improve the overall performance of vehicles.For this reason,a multi-section axial fluid flow damping channel MR damper with compact structure and stable performance was designed in this paper.The purpose of improving the damping performance was to increase the number of fluid flow channels and extend the length of damping channels by reasonably designing the structure of each part,laying out the magnetic insulation parts,and increasing the number of fluid flow channels.On this basis,BP neural network and particle swarm optimization were combined to optimize the size parameters of the structure to further improve its controllable performance and broaden its practical application.The main research contents of this paper are as follow:(1)A multiple axial fluid flow channels MRD with coils symmetrically arranged at both ends of the damper is designed.By increasing the number of liquid flow channels and changing the distribution of liquid flow channels,the effective damping channel length is extended to improve the damping performance.Based on the working principle of the damper,the magnetic circuit structure of the damper was designed and analyzed,the dimensional parameters and material properties of each component were determined,and the mathematical model of the damping force was deduced.(2)The static magnetic field characteristics and dynamic performance of the designed damper were modeled,simulated and analyzed by ANSYS and MATLAB software.The distribution of magnetic field lines and the magnetic induction intensity in the effective damping channel were observed,and the variation rules between the simulated damping force and the input current,vibration frequency and amplitude were explored under different conditions.The simulation results verify the rationality of the initial structure design and the accuracy of the mechanical model.(3)Combined with BP neural network and particle swarm optimization algorithm,the initial design of multiple axial fluid flow channels MRD was optimized.Taguchi orthogonal test method and finite element method were used to arrange the test training group,and range and variance analysis were carried out on the obtained simulation data to evaluate the influence degree and rule of dimension parameters on performance indexes.Finally,the simulation damping performance of the damper before and after optimization was compared to verify the effectiveness of the optimization method.The results show that the optimized damper has better damping performance.(4)The damper test system of the research group was used to test the dynamic performance of the two damper prototypes before and after the optimization,and the effective conclusions were drawn by comparing and analyzing the test results,which further verified the rationality of the theoretical design and the feasibility of the optimization design.The test results show that when the loading current is 1A,the output damping force of the optimized damper measured in the test is 4.58 k N,1.89 k N more than the 2.69 k N before the optimization,and the adjustable range of the optimized damper is 12.1,2.3 more than the 9.8before the optimization.