Design and study of tool wear monitoring | |
Xu, Chuang-Wen | |
刊名 | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology
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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. |
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