钛合金超声辅助磁性磨料光整加工工艺优化  

Process Optimization for Ultrasonic-Assisted Magnetic Abrasive Finishing of Titanium Alloy

作　　者：马付建[1] 普斌 刘鑫[1] 罗奇超 MA Fujian;PU Bin;LIU Xin;LUO Qichao(Dalian Jiaotong University,Dalian 116028,China)

机构地区：[1]大连交通大学,大连116028

出　　处：《航空制造技术》2022年第8期47-52,共6页Aeronautical Manufacturing Technology

基　　金：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)。

摘　　要：为了研究加工参数对钛合金超声辅助磁性磨料光整加工(UAMAF)的影响,以表面粗糙度和材料去除率(MRR)为指标开展正交试验研究,运用信噪比与灰色关联度分析方法分别对加工参数进行单目标和多目标优化。结果表明,以表面粗糙度和MRR为目标的最佳工艺为磨粒粒度均为50/60#,振幅均为14μm,工具转速分别为1000r/min和1200r/min,磁极–工件间隙分别为1mm和1.25mm,加工时间分别为40min和30min,优化的表面粗糙度R;和MRR分别为0.08μm和30.5mg/h;综合考虑表面粗糙度和MRR的最佳工艺为磨粒粒度50/60#、振幅14μm、工具转速1200r/min、磁极–工件间隙1.00mm、加工时间30min,表面粗糙度R;和MRR分别为0.12μm和27.9mg/h。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;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;0.12μm and 27.9mg/h respectively.

关 键 词：钛合金 超声辅助磁性磨料光整加工(UAMAF) 表面粗糙度 材料去除率(MRR) 信噪比(S/N) 灰色关联度 

分 类 号：V261[航空宇航科学与技术—航空宇航制造工程]