High thrust focused magnetic linear motor for needling massive transfer platform
A high thrust concentrated magnetic linear motor is proposed to address the problem of low thrust and obvious edge effects leading to slow transfer speed in needle punched massive transfer plat-forms.The outer V-shaped structure is used to suppress leakage magnetic effect,and the double-layer Halbach structure is used to improve air gap magnetic density.The finite element method is used to com-pare and analyse the air gap magnetic density and leakage magnetic flux of the three schemes.The air gap magnetic flux and leakage magnetic flux of the V-shaped double-layer Halbach scheme are 0.6 T and 0.05 T,respectively.Compared with the single-layer trapezoidal scheme,the air gap magnetic flux is increased by 17.6%,and the leakage magnetic flux is reduced by 71.4%.The equivalent magnetization current method was used to segment the magnetic field of the motor,and a rectangular boundary condition was es-tablished using the segmentation compensation method.A mathematical model of the magnetic circuit of the linear motor was established,and the key structural parameters affecting the linearity of the motor thrust were obtained.The shape and structural parameters were optimized based on the finite element method.The results show that after optimization,the maximum and minimum magnetic densities of the air gap are 0.67 T and 0.47 T,respectively.The change rates of magnetic densities in the x and y direc-tions are 25%and 29.8%,respectively.The thrust simulation calculation result is 278 N,the thrust fluc-tuation rate is 2.1%,the no-load acceleration is 10 m/s2,and the theoretical chip transfer speed can reach 50 pieces/s.Based on the optimization results,a linear motor was developed for the massive transfer plat-form.The test results are consistent with the optimization results,which is of great significance for im-proving the transfer efficiency of the massive transfer platform.
linear motoracupuncture type massive transfermagnetism gatheringfinite element meth-odspace application
万方数据
维普
