Influence Of Electromagnetic Parameters On MRF Characteristics And Optimization Research

As a new intelligent material, magneto-rheological fluid has received more and more attention and application in recent years. It’s a very active branch in intelligent materials research. With the performance features of high yield stress, low zero field viscosity, good deposit stability, rapid time response and wide operating temperature range etc., MRF(magneto-rheological fluid) has been widely used in transmission engineering, shock absorber, hydraulic device, clutch, brake, seal, buffing attachment, flexible fixture etc., and its application also has been extended into electron, aeronautics and astronautics, defense and military, energy sources, chemical environmental protection, metallurgical machinery, instrument and meter, medical health etc.. Therefore, the research of the performance and application of MRF has a very important significance.The working performance of MRF has a very close relationship with the applied magnetic field. The shear stress of MRF directly influences the working efficiency of the instrument, and the shear stress depends on the magnetic induction intensity during working time. Through adjusting magnetic field strength, the viscosity and shear stress of MRF can be changed rapidly and reversibly. Once magnetic field is removed, MRF can free flow rapidly, which is called magneto-rheological effect. In consequence, an in-depth study of MRF electromagnetic field is very important to make MRF achieve further development and wider application.This topic is based on MRF, and an original design MRF engine dynamometer device is the framework, the influence of loading magnetic field on the MRF characteristic is discussed deeply. First of all, this topic expounds the basic principle of magnetorheological fluid and the conditions of loading magnetic field magnetic circuit of MRF instruments, the general way of MRF magnetic circuit design at this stage is also summarized. The structure of MRF engine dynamometer device is analyzed, with the general way of MRF magnetic circuit design, an original design MRF magnetic field loading device is put forward and the magnetic field loading test bench is built. The influence of different loading magnetic field on MRF magnetic induction intensity is researched through some experiments, and the relationship between viscosity and magnetic induction intensity of MRF is also the research object.With the data of MRF magnetic field loading experiments and the relevant theoretical knowledge of artificial neural network, this topic establishes a prediction model of MRF magnetic induction intensity based on Elman neural network. The purpose is to get the forecast results of magnetic induction intensity, and the veracity of this prediction model is also verified.Finally, this topic combines the data of MRF magnetic field loading experiments with the established prediction model to forecast the MRF magnetic induction intensity of MRF engine dynamometer device, and the magnetic induction intensity of the whole round surface of MRF channel is got. Through the analysis of the forecast results, the optimization method of MRF dynamometer device is achieved.