Design and study of tool wear monitoring

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	Design and study of tool wear monitoring
	Xu, Chuang-Wen
刊名	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
	2003
卷号	35 期号:1 页码:76-80
关键词	Artificial intelligence Cutting tools Monitoring Neural networks Stability Artificial neural networks Cutting parameters Model method Wear value
ISSN号	03676234
英文摘要	During automatic manufacturing processes, such as CIMS and FMS, tool wear is the key monitoring to process stability. A lot of analysis and studies have been done for compensation purpose. A milling cutter wear monitoring system has been established by selecting artificial neural network to forecast the wear of high-speed steel cutters back face by BP network. The experiments show that this model is applicable to monitoring the intense wear of milling cutter.
语种	中文
出版者	Harbin Institute of Technology
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/112185]
专题	兰州理工大学
作者单位	Lanzhou Polytech. Coll., Lanzhou 730050, China
推荐引用方式 GB/T 7714	Xu, Chuang-Wen. Design and study of tool wear monitoring[J]. Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology,2003,35(1):76-80.
APA	Xu, Chuang-Wen.(2003).Design and study of tool wear monitoring.Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology,35(1),76-80.
MLA	Xu, Chuang-Wen."Design and study of tool wear monitoring".Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology 35.1(2003):76-80.