Monitoring of diamond disk wear in stone cutting by means of force or acceleration sensors

被引:0
作者
W. Polini
S. Turchetta
机构
[1] Università degli Studi di Cassino,Dipartimento di Ingegneria Industriale
来源
The International Journal of Advanced Manufacturing Technology | 2007年 / 35卷
关键词
Multi-sensor monitoring system; Wear; Diamond disk; Cutting force; Acceleration; Stone;
D O I
暂无
中图分类号
学科分类号
摘要
The application of sensor systems is becoming more commonplace in improving productivity, automation, and reliability. The sensors employed in such systems possess signal and information ability for enhancing the monitoring and control of machining processes. Although measuring force and acceleration signals have been commonly used for the monitoring of metal machining processes, their application to stone cutting has not been well developed, which is perhaps due to the complexity of the interaction between the stone and the diamond disk. In order to enhance knowledge in this area of applications, a multi-sensor system was developed and installed for the monitoring of stone cutting by diamond mill. The signals acquired and analysed by the system include force and acceleration under different machining conditions. The measured signal data was used to perform time-domain analysis. The results indicate the feasibility of using the RMS features of force or acceleration signals along z-axis for the monitoring of disk wear.
引用
收藏
页码:454 / 467
页数:13
相关论文
共 34 条
  • [1] Dimla DE(2000)Sensor signals for tool-wear monitoring in metal cutting operations: a review of methods Int J Mach Tools Manuf 40 1073-1098
  • [2] Ravindra HV(1997)Acoustic emission for tool condition monitoring in metal cutting Wear 212 78-84
  • [3] Srinivasa YG(2003)Identification of common sensory features for the control of CNC milling operations under varying cutting conditions Int J Mach Tools Manuf 43 897-904
  • [4] Krishnamurthy R(2000)On-line metal cutting tool condition monitoring. I: force and vibration analyses Int J Mach Tools Manuf 40 739-768
  • [5] Ertekin YM(2002)Study of tool life, surface roughness and vibration in machining nodular cast iron with ceramic tool J Mater Process Technol 127 17-22
  • [6] Kwon Y(1996)Tool condition monitoring in drilling using vibration signature analysis Int J Mach Tools Manuf 36 687-711
  • [7] Tseng TL(1995)Tool-wear monitoring in machine turning J Mater Process Technol 51 25-36
  • [8] Dimla DE(1999)A tool breakage detection system using an accelerometer sensor J Intell Manuf 10 187-197
  • [9] Lister PM(1983)An investigation of tool wear and the vibration spectrum in milling Wear 91 219-234
  • [10] Ghani AK(1991)Multi-sensor integration-an automatic feature selection and sate identification methodology for tool wear estimation Comput Ind 17 121-130