Position: Home > Articles > Surface Roughness of Titanium Alloy under Ultrasonic Vibration Milling
Transactions of the Chinese Society for Agricultural Machinery
2014,45
(6)
341-346+340
超声铣削钛合金材料表面粗糙度研究
作 者:
王明海;李世永;郑耀辉
单 位:
沈阳航空航天大学航空制造工艺数字化国防重点学科实验室
关键词:
超声扭转振动;振动铣削;表面粗糙度;方差分析;响应曲面法
摘 要:
在传统铣削基础上赋予铣刀超声扭振,研究加工参数(振幅、铣削速度、进给量)对铣刀侧刃加工表面质量的影响。进行了扭振铣削试验,得到了单变量加工参数对铣削表面质量的影响,并应用方差分析和响应曲面分析研究了加工参数各因素及交互因素对表面粗糙度影响的显著性,优化了加工参数,建立了粗糙度预测模型。研究表明,施加的超声扭振可明显降低表面粗糙度;超声扭振铣削加工时对表面粗糙度影响重要程度依次为振幅、铣削速度、进给量;采用大振幅和低铣削速度更利于降低表面粗糙度。
译 名:
Surface Roughness of Titanium Alloy under Ultrasonic Vibration Milling
作 者:
Wang Minghai;Li Shiyong;Zheng Yaohui;Key Laboratory of Fundamental Science for National Defense of Aeronautical Digital Manufacturing Process,Shenyang Aerospace University;
关键词:
Ultrasonic torsional vibration Vibration milling Surface roughness Variance analysis Response surface methodology
摘 要:
The effects of processing parameters( amplitude,milling speed,feed per tooth) on surface quality machined by side blades in ultrasonic torsional vibration milling( UTVM) were investigated. Based on a series of UTVM experiments,the influence of single-variable processing parameter on surface quality of milled surfaces was obtained. Furthermore,the significance of these effects of each factor and interactive factors of processing parameters on surface roughness was studied by variance analysis and response surface methodology. Processing parameters were optimized and prediction model of surface roughness was established. The experimental results show that applied ultrasonic torsional vibration can obviously reduce surface roughness of milled surfaces,and the amplitude is the most significant factor of affecting surface roughness in UTVM,while the milling speed and feed per tooth are the second and the third,respecitively. Large amplitude and low milling speed are more likely to improve the roughness of the milled surfaces.