文档介绍：异型螺杆铣削过程刀具磨损状态检测研究———王维么健石唐宗军
异型螺杆铣削过程刀具磨损状态检测研究
王维1 么健石2 唐宗军3
1. 沈阳航空工业学院机械与汽车工程学院, 沈阳,110043
2. 沈阳炮兵学院自行火炮系, 沈阳,110162
3. 沈阳工业大学机械工程学院, 沈阳,110023
摘要:针对异型螺杆铣削加工,采用振动信号特征值作为检测刀具磨损
的参量。利用小波分析构建滤波器组,对振动信号进行多尺度分解和多分
辨率逼近,提取出刀具磨损特征信号。特征信号处理结果反映了刀具磨损
变化规律,振动幅值大小反映了刀具磨损状况,从而实现了刀具磨损状态在王维教授
线实时检测。
关键词:异型螺杆;刀具磨损;状态检测;小波分析
中图分类号:TG54 文章编号:1004 —132 Ⅹ(2004) 23 —2081 —04
Research on Condition Test of Tool Wear for Milling Special Shaped Spiral Rod
Wang Wei1 Yao Jianshi2 Tang Zongjun3
1. Shenyang Institute of Aeronautical Engineering ,Shenyang ,110043
2. Shenyang Artillery School ,Shenyang110162
3. Shenyang University of Technology ,Shenyang , 110023
Abstract : The characteristic values of vibration signals were used as testing parameters of tool wear for milling
special shaped spiral rods. Making use of the wavelet analysis , the filter groups were constructed for making multi -
scale position and multi - resolution approach of vibration signals , then the characteristic signals of tool wear
were picked up. The change rules of tool wear have been revealed by processing results of characteristic singnals and
the tool wear conditions have been revealed by vibration amplitude values. So , a real time condition test of tool wear
is made.
Key words : special shaped spiral rod ; tool wear ; condition test ; wavelet analysis
0 引言异型螺杆铣削过程中,由于工件复杂的截面
利用