Abstract:In order to study the influence of machining parameters on ultrasonic-assisted magnetic abrasive finishing (UAMAF) of titanium alloy, the orthogonal experiments were carried out with surface roughness and material removal rate (MRR) as evaluating indicator. The single-objective and multi-objective optimization of the machining parameters were carried out based on signal-to-noise ratio (S/N) and grey correlation analysis methods. The results show that the best process aiming at surface roughness and MRR is the abrasive particle size of 50/60#, amplitude of 14μm, and tool speed of 1000r/min and 1200r/min, magnetic pole and workpiece gap of 1mm and 1.25mm, finishing time of 40min and 30min respectively. The optimized surface roughness and MRR are R a 0.08μm and 30.5mg/h respectively. The optimum process combining surface roughness and MRR is the abrasive particle size of 50/60#, amplitude 14μm, finishing time of 30min, magnetic pole and workpiece gap of 1.00mm, tool speed of 1200r/min. The surface roughness and MRR are R a 0.12μm and 27.9mg/h respectively.
基金资助:国家自然科学基金(51505057);辽宁省自然科学基金(2021 – MS – 295);辽宁省教育厅自然科学研究经费(JDL2020015)。
作者简介: 马付建,副教授,博士,研究方向为难加工材料精密与特种加工技术。
引用本文:
马付建,普斌,刘鑫,罗奇超. 钛合金超声辅助磁性磨料光整加工工艺优化[J]. 航空制造技术, 2022, 65(8): 47-52.
MA Fujian, PU Bin, LIU Xin, LUO Qichao. Process Optimization for Ultrasonic-Assisted Magnetic Abrasive Finishing of Titanium Alloy[J]. Aeronautical Manufacturing Technology, 2022, 65(8): 47-52.