表面技术2025，Vol.54Issue(12)：152-163,206,13.DOI:10.16490/j.cnki.issn.1001-3660.2025.12.014
交变电磁场辅助磁粒研磨黄铜管参数优化研究
Parameter Optimization of Magnetic Abrasive Grinding of Brass Pipes Assisted by Alternating Electromagnetic Field
摘要
Abstract
As an advanced machining method,compared with traditional machining technologies,magnetic particle lapping finishing has the advantages of high-precision surface treatment,little damage to the workpiece surface,good self-sharpening and high degree of automation.Therefore,it is suitable for treating the outer surface of the workpiece and the inner hole of the complex-shaped workpiece.This technology removes scratches and defects on the workpiece surface through magnetic particles moving along the magnetic inductance line under the action of the magnetic field,while generating uniform friction and grinding force.It is widely used in the surface treatment of high-precision mechanical parts,such as the surface treatment of aerospace,automotive industry,electronic equipment and medical device parts,to improve the surface quality and safety of use.In order to solve the problems such as the gathering or insufficient updating of magnetic particles inside the pipe fittings in traditional magnetic particle grinding,an alternating electromagnetic field assisted magnetic particle grinding device was designed to ensure the magnetic induction intensity inside the pipe fittings,and an alternating electromagnetic field was applied to promote the constant updating of magnetic particles and improve the grinding effect. With h65 brass pipe as the processing object,the waveform of the current through the electromagnet was changed by the signal generator,and the current waveform most suitable for the grinding of pipe fitting was triangular wave.The transformer and power amplifier were used to multiply the power of the electromagnet.Under the conditions of grinding time of 15 min,feed speed of 5 mm/s and machining gap of 1.5 mm,the response surface method was used to optimize the test parameters.The model had good precision and high precision.The effect degree of the three factors on the surface roughness was duty ratio＞voltage amplitude＞frequency.Through the multiple regression equation,the surface and contour maps of the effect of pairwise interaction between different factors on the response value were obtained.The effect of interaction of any two factors on the response value was obtained by the control variable method.Finally,the optimal experimental parameters were obtained,the optimal test process parameter combination was voltage amplitude 6.854 V,frequency 3.515 Hz and duty ratio 20.195％.After machining under these parameters,the inner surface of the pipe fittings was detected by ultra-depth of field 3D electron microscope and stylus surface roughness measuring instrument.The transverse tensile texture,micro-cracks and concave points of the original surface were removed,and the surface roughness of the brass pipe was reduced from the original Ra 0.525 μm to Ra 0.056 μm and the error from the predicted value of 0.064 μm was only 12.5％. Response surface analysis can reflect the effect of voltage amplitude(A),frequency(B)and duty cycle(C)on the surface roughness.Magnetic particle grinding technology is suitable for the inner surface machining of h65 brass.The machining of h65 brass pipe with optimal parameters can effectively eliminate the surface defects of the workpiece and reduce the surface roughness of the workpiece.The alternating electromagnetic field assisted magnetic particle grinding device can effectively promote the time renewal of magnetic abrasive particles and improve the grinding effect.关键词
磁粒研磨/磁性磨粒/交变电磁场/响应曲面法/参数优化/表面粗糙度Key words
magnetic abrasive grinding/magnetic abrasive particle/alternating electromagnetic field/response surface methodology/parameter optimization/surface roughness分类
矿业与冶金引用本文复制引用
刘冰洋,闫宇航,丁云龙,韩冰,陈燕..交变电磁场辅助磁粒研磨黄铜管参数优化研究[J].表面技术,2025,54(12):152-163,206,13.基金项目
辽宁省教育厅科学研究经费项目(LJ212410146074) （LJ212410146074）
辽宁省科技厅博士启动基金(2021-BS-241)Scientific Research Funding Project of the Education Department of Liaoning Province(LJ212410146074) （2021-BS-241）
The Start-up Funding for Ph.D.of Liaoning Provincial Department of Science and Technology(2021-BS-241) （2021-BS-241）
