期刊文献+

切削颤振在线监测的试验研究 被引量:3

EXPERIMENTAL STUDY ON IN-PROCESS MONITORING OF CUTTING CHATTER
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摘要 切削颤振发生过程最显著的频域特征是包含颤振频率的某个窄频段内振动能量的急剧上升。本文根据频段能量原理提出了一种可靠的判据,并利用微型计算机实现了切削颤振的在线监测。该方法具有快速、灵敏、准确和抗干扰能力强等优点。本文还探讨了实际应用中的某些具体措施。 The most significant characteristic in frequency domain during cutting chatter oc-curing process is the steep rise of the vibration energy in certain narrow frequency band containing the chatter frequency.In accordance with the frequency band-energy principle, a reliable criterion for chatter judgement is proposed and the in-process detection of cutting chatter is realized by the use of microcomputer. This method has the advantages of rapidity, high sensitivity, accuracy and high resistance to interference.Some concrete measures taken in practical applications are also discussed.
机构地区 南京航空学院
出处 《航空学报》 EI CAS CSCD 北大核心 1989年第10期B515-B520,共6页 Acta Aeronautica et Astronautica Sinica
关键词 切削 颤振 在线监测 金属加工 cutting chatter, characteristic in frequency domain,criterion, in-process monitoring.
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参考文献2

  • 1张幼桢,金属切削理论,1988年
  • 2梅志坚,华中理工大学学报,1985年,13卷,5期,87页

同被引文献20

  • 1赵学智,陈统坚,叶邦彦,彭永红.基于参数方程的小波基自适应选择[J].机械工程学报,2004,40(11):123-128. 被引量:9
  • 2杨叔子.振动信号的微机在线分析与监视.振动与动态测试,1985,(2):89-100.
  • 3I. Tansel, A. Nedbouyan, M. Trujillo. Micro - end - milling Extending Tool Life with a Smart Work Pieces Holder (SWH) [ J ]. Inter- national Journal of Machine Tools & Manufacture, 1998,38 (7) : 1437 - 1448.
  • 4Gi - Bum Jeonga, Dong Hwan Kima, Dong Young Jang. Real Time Monitoring and Diagnosis System Development in Turning through Measuring a Roundness Error Based on Three -point Method[ J ]. International Journal of Machine Tools and Manufacture, 2005(45) : 1494 - 1503.
  • 5Rabinir, Meneghettju. Application of the Envelope and Wavelet Transform Analysis for the Diagnosis of Incipient Faults in Ball Bear- ings[ J]. Mechanical Systems and Signal Processing,2001,15(2) :287 - 302.
  • 6高宏立.切削加工过程中刀具磨损的智能监测技术研究[D].西安:西南交通大学,2005.
  • 7李勇.基于声发射和振动法的刀具磨损状态检测研究[D].南昌:南昌航空大学,2009.
  • 8E Kuljanic, M Sortino, Twen. A method based on cutting forces -monitoring tool wear in face milling[ J ]. Internation- al Journal of Machine Tools & Manufacture, 45 ( 2005 ) : 29 - 34.
  • 9C H Jun, S H Suh. Statistical tool breakage detection schemes based on vibration signals in NC milling[ Jl. Inter- national Journal of Machine Tools & Manufacture, 39 (1999) :1733 - 1746.
  • 10Shao H, Wang H L, Zhao X M. A cutting power model for tool wear mentoring in milling [ J ]. International Journal of Machine Tools & Manufacture,2004, 44 : 1503 - 1509.

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