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Structural Parameter Optimization And Performance Research Of Radial Flow Magnetorheological Valve Based On Magneto-fluidic Coupling Simulation

Posted on:2024-08-01Degree:MasterType:Thesis
Country:ChinaCandidate:F ZhouFull Text:PDF
GTID:2542307133993189Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Damping equipment has a great demand in the vibration control of mechanical engineering neighborhood.Whether it is energy dissipation or passive vibration isolation,there is an urgent need for high efficiency and high reliability damping equipment.With the wide application of magnetorheological(MR)fluid in engineering equipment,the performance of MR valve is the key to evaluate the working efficiency of MR damping equipment.At present,most of the MR valves developed by structural design are limited by the complexity and work stability of the geometric structure,which restricts the further development of MR damping equipment.For this reason,this article proposes a geometric optimization design method that can get rid of the application of the Finite Element Model(FEM)to the user-defined objective function based on the magnetic-fluid coupling simulation technology,and carries out systematic research around the device structure design,theoretical model derivation,simulation optimization technology,and experimental verification.The specific research contents are as follows:(1)The structure design scheme of the MR valve was determined based on the selection of component materials,the working mode of the MRF fluid and the macroscopic mechanical characteristics.According to the design points,a radial flow MR valve was proposed to guide the direction of magnetic force lines by arranging magnetic materials and nonmagnetic materials in order,and its working principle was elaborated and magnetic circuit theory is analyzed.The mathematical relationship between the output pressure drop and the size parameters of the valve was derived on the basis of the constitutive model of MR fluid.Finally,the calculation models of valve power consumption,MR fluid response and electromagnetic loop response were established to provide theoretical basis for subsequent geometric optimization.(2)Aiming at the structural characteristics of the radial flow MR valve,the interaction mechanism between the magnetic field and the flow field involved in the MR valve was sorted out from the perspective of theoretical model analysis.At the same time,the dual-physical field coupling simulation analysis was carried out in COMSOL software to obtain the internal magnetic field characteristics of MR valve and the dynamic process of magnetic fluid flow.(3)The FEM model of COMSOL software was used to generate magnetic field data,and an empirical model of Feedforward Neural Network(FNN)was proposed to predict the magnetic flux density of MR valve.The Design of Experiment(Do E)technology was adopted for correlation analysis,the structural parameters to be optimized were selected,the optimization platform of structural parameters was built.The multi-objective optimization calculation was carried out based on the FNN model and Multi-Objective Genetic Algorithm(MOGA),and the optimal structural parameter set was obtained.Finally,the four performance indexes of the initial and optimal MR valve with current change were simulated numerically.(4)Taking the three performance parameters of the transient dynamic pressure drop and dynamic response time of the MR valve as the evaluation indicators,the MR valve performance test platform was setup,and the dynamic performance experimental research of the MR valve was carried out around the excitation current,excitation load and pump source flow.The test results show that the dynamic performance index of the optimal MR valve was significantly improved compared with that before optimization,which again verifies the effectiveness of the optimized design.(5)The MR valve was used as the hydraulic control unit of the valve-controlled cylinder system,and the dynamic performance of the valve-controlled cylinder system was explored through a series of experiments at different currents,amplitudes and frequencies.The experimental results show that the designed valve-controlled cylinder system had the advantages of large resistance and wide dynamic coefficient,and the optimal valve-controlled cylinder system had better dynamic performance.
Keywords/Search Tags:Radial flow MR valve, feedforward neural network, pressure drop, response, MR valve-controlled cylinder system
PDF Full Text Request
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