首页 | 官方网站   微博 | 高级检索  
     

基于电流信号的铣削颤振识别技术研究
引用本文:刘晓胜,吴乐南,马玉林,蔡鹤皋.基于电流信号的铣削颤振识别技术研究[J].机械工程学报,2000,36(4):25-29.
作者姓名:刘晓胜  吴乐南  马玉林  蔡鹤皋
作者单位:1. 东南大学无线电系,南京,210096
2. 哈尔滨工业大学
摘    要:以铣削为对象,建立了2自由度的铣削加工颤振动力学模型,分析了铣削颤振的产生机理;在此基础上,提出了基于电流信号的铣削颤振检测识别模型,该模型利用主轴电流信号的高频成分和低频成分的相对变化,很好地识别出颤振的发生,同时,该方法有效地消除了切削条件变化对检测结果的影响.此外,该方法算法简单,计算量小,可以实现实时检测.

关 键 词:电流信号  颤振  识别  铣削
修稿时间:1999年1月13日

STUDY ON DETECTION OF CHATTER FOR MILLING BASED ON CURRENT SIGNAL
Liu Xiaosheng,Wu Lenan,Ma Yulin,Cai Hegao.STUDY ON DETECTION OF CHATTER FOR MILLING BASED ON CURRENT SIGNAL[J].Chinese Journal of Mechanical Engineering,2000,36(4):25-29.
Authors:Liu Xiaosheng  Wu Lenan  Ma Yulin  Cai Hegao
Affiliation:Liu Xiaosheng;Wu Lenan (East-South University) Ma Yulin;Cai Hegao (Harbin Institute Technology)
Abstract:A dynamic model of chatter with twodegree of freedom for milling process is presented, and the mechanism of chatter is analyzised. On the basis of these, the model of detecting the chatter based on current signal is given, which uses the boo of high frequent and low frequent of current signal of spindle. The method which can detects the chatter reliably eliminates the effect of changes of manufacturing conic on the results of detection. Besides these, the arithmetic is simple, and it is carried out real-the for its small for of calculating.
Keywords:Current signal Chatter Detection Milling
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号