摘要
随着科学技术的发展,微小零件广泛应用于各个领域,而微细铣削技术变得越来越重要。在微细铣削中,对刀具磨损的研究占有重要地位。采用直径1 mm的TiAlN涂层平头铣刀,针对微细铣削黄铜H59时的刀具侧刃磨损进行试验研究。发现随着铣削长度的增加,侧刃磨损量呈上升趋势。切削长度为200 m时,两组试验的磨损带宽度变化由快变慢,出现变化临界点。对刀具磨损形式与机制进行分析,发现刀具出现涂层脱落、刀尖钝圆半径变大和微崩刃现象,分析其发生机制为磨粒磨损与粘结磨损。以侧刃后刀面磨损带宽度为试验指标进行正交试验,研究铣削参数对刀具侧刃后刀面磨损的影响主次顺序及最优参数组合。结果表明:每齿进给量、轴向切深、主轴转速和径向切深对刀具磨损的影响依次减少;试验所得最优参数组合为f z=2μm/齿,a p=0.3 mm,n=60000 r/min,a e=0.15 mm。
Micromilling technology is becoming more and more essential in many fields in which the miniature parts are widely applied.Research of tool wear occupies an important part in micromilling studies.The micro end mills of 1 mm in diameter with coating TiAlN were used to conduct micro-milling parameters studies on tool wear of side cutting edge for brass H59.With the increase of milling length,the wear amount of side edge increases.When the cutting length is 200 m,the wear band width of tests changes from fast to slow,and the critical point of change occurs.The wear form and wear mechanism of tools were analyzed.The wear forms included coating peeling,the rounding of corner radius and cutting edge chipping,and the wear mechanisms included abrasive wear and adhesive wear.Orthogonal experiments were carried out to obtain significance order of key parameters for the wear band width of side cutting edge and the optimal parameters combination.The orthogonal experiments results show that the significance order of key parameters for wear band width from large to small is feed engagement f z,axial cut depth a p,spindle speed n and radial cut depth a e.The optimal parameters combination obtained is f z=2μm/tooth,a p=0.3 mm,n=60000 r/min,a e=0.15 mm.
作者
杨学明
程祥
郑光明
王飞
孙秋莲
王文豪
YANG Xueming;CHENG Xiang;ZHENG Guangming;WANG Fei;SUN Qiulian;WANG Wenhao(School of Mechanical Engineering,Shandong University of Technology,Zibo Shandong 255049,China)
出处
《机床与液压》
北大核心
2019年第22期8-12,共5页
Machine Tool & Hydraulics
基金
国家自然科学基金青年科学基金项目(51505264)
山东省自然科学基金资助项目(ZR2017MEE060
ZR2017MEE050
ZR2015EL023)
淄博市校城融合发展计划(2017ZBXC189)
关键词
微细铣削
刀具磨损
侧刃后刀面
最优参数组合
Micromilling
Tool wear
Flank face of side cutting edge
Optimal parameters combination
