期刊文献+

自动化加工中刀具破损监控系统的研究 被引量:5

Research of Monitoring System for the Tools Breakage During the Automatic Manufacturing Process
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摘要 目的解决自动化加工过程中刀具破损监控实用性差和可靠性低的问题.方法依据刀具破损的声发射信号特征,使用硬件电路实现双阈值判别法,并采用特殊的抗干扰措施和对正常加工过程无任何影响的安装方案.结果研制了相应的实时监控系统,论述了其工作原理及结构.结论经实验证明。 Aim To solve the problem of tool breakage monitoring's poor prac ticability and low reliability during automatic manufacturing process. Methods According to the feature of tool breakage's acoustic emission signal, the distinguish ing method with double threshold values was realized hardware circuit and the special method of interference resistance was adopted. The monitoring system was installed without any effect on the normal manufacturing process. Results The correspond ing monitor was developed. The working principle and structure of the monitor was discussed. Conclusion It has been proved by the experiments that this system has fair practicability and interference resistance.
出处 《北京理工大学学报》 EI CAS CSCD 1999年第2期163-166,共4页 Transactions of Beijing Institute of Technology
关键词 在线监测 自动化加工 刀具破损 监控系统 acoustic emission monitor sensor
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参考文献4

  • 1邢济收.刀具切削状态实时在线监测传感方式与监测方法研究:学位论文[M].北京:北京理工大学,1997..
  • 2徐春广.加工过程刀具切削状态的监控监测方法研究:学位论文[M].北京:北京理工大学机械工程与自动化学院,1994..
  • 3邢济收,刀具切削状态实时在线监测传感方式与监测方法研究,1997年
  • 4徐春广,加工过程刀具切削状态的监控监测方法研究,1994年

共引文献2

同被引文献19

  • 1TLURTY J. A critical review of sensors for unmanned maching [ J ]. Annals of the CIRP, 1983,32 ( 2 ) : 563 - 572.
  • 2KURADA S, BRADLEY C. A review of machine vision sensors for tool condition monitoring[ J]. Computers in Industry, 1997,34 ( 1 ) :55 - 72.
  • 3PFEIFER T, WIEGERS L. Reliable tool wear monitoring by optimized image and illumination control in machine vision [J]. Measurement: Journal of the International Measurement Confederation,2000,28 (3) :209 - 218.
  • 4TLURTY J. A critical review of sensors for unmanned maching [ J ]. Annals of the CIRP, 1983,32 ( 2 ) : 563 - 572.
  • 5KURADA S, BRADLEY C. A review of machine vision sensors for tool condition monitoring[ J]. Computers in Industry, 1997,34 ( 1 ) :55 - 72.
  • 6PFEIFER T, WIEGERS L. Reliable tool wear monitoring by optimized image and illumination control in machine vision [J]. Measurement: Journal of the International Measurement Confederation,2000,28 (3) :209 - 218.
  • 7贾虹,卢炎麟,陈永清,侯伟.基于机器视觉的加工面缺陷检测方法[J].轻工机械,2007,25(5):66-69. 被引量:3
  • 8蒙斌.数控机床切削过程刀具磨损与破损的振动监测法[J].机电工程技术,2007,36(10):100-101. 被引量:6
  • 9朱彬.基于LabVIEW的数控刀具磨损实时监控系统[J].机械,2008,35(3):54-56. 被引量:3
  • 10高永祥,郁君平.数控高速加工中刀具轨迹优化[J].轻工机械,2008,26(6):39-41. 被引量:4

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