Application of classical clustering methods for online tool condition monitoring in high speed milling processes

• Main Authors: Li, Xiang, Torabi, Amin J., Er, Meng Joo, Lim, Beng Siong, Zhai, Lian yin, San, Linn, Gan, Oon Peen, Ching, Chuen Teck
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 在線閱讀: https://hdl.handle.net/10356/98823; http://hdl.handle.net/10220/12858

Tool Condition Monitoring (TCM) is a necessary action during end-milling process as worn milling-tool might irreversibly damage the work-piece. So, there is an urgent need for a TCM system to provide an evaluation of the tool-wear progress and resulted surface roughness. Principally, in-process tool...