Design and study of tool wear monitoring

	Design and study of tool wear monitoring
	Xu, Chuang-Wen
	2003
发表期刊	Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
ISSN	03676234
卷号	35 期号:1 页码:76-80
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.
关键词	Artificial intelligence Cutting tools Monitoring Neural networks Stability Artificial neural networks Cutting parameters Model method Wear value
收录类别	EI
语种	中文
出版者	Harbin Institute of Technology
EI入藏号	2003287540753
EI主题词	Wear of materials
EI分类号	421 Strength of Building Materials ; Mechanical Properties - 604.1 Metal Cutting - 723.4 Artificial Intelligence
来源库	Compendex
分类代码	421 Strength of Building Materials; Mechanical Properties - 604.1 Metal Cutting - 723.4 Artificial Intelligence
文献类型	期刊论文
条目标识符	https://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.