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  • 标题:Modelling of Cutting Tool Condition Monitoring System (CTCMS) to support industry 4.0
  • 本地全文:下载
  • 作者:Ari Setiawan ; Dina Angela ; Billy Irawan
  • 期刊名称:MATEC Web of Conferences
  • 电子版ISSN:2261-236X
  • 出版年度:2018
  • 卷号:204
  • DOI:10.1051/matecconf/201820402012
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:One of the value drivers in Industry 4.0 is asset utilization that has capability to remote monitoring and controlling the assets. Some of the problems on the production floor, especially in modern manufacturing areas such as machining process in the Flexible Manufacturing System (FMS), requires the condition of the cutting tools. This paper will discuss a model of cutting tools online monitoring system that operated in web based application. The model involves three sensors and a human machine interface to show the cutting tools condition. The sensors consist of temperature sensor, accelerometer, and electrical power consumption sensor; while in the experiment, the data of those sensors will be compared with the flank wear and crater wear on the cutting tools. The model shows that the data of temperatures, vibration and power consumption are collected by the sensors and sent by internet to the monitoring systems.
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