Using cutting temperature and chip characteristics with neural network BP and LSTM method to predicting tool life

被引：0
|
作者：
Chen, Shao-Hsien [1 ]
Lin, Yu-Yu [2 ]
机构：
[1] The Graduate Institute of Precision Manufacturing, National Chin-Yi University of Technology, Taichung, Taiwan
[2] Department of Mechanical Engineering, National Chin-Yi University of Technology, Taichung, Taiwan
来源：
International Journal of Advanced Manufacturing Technology | 2023年 / 127卷 / 1-2期
关键词：
Backpropagation - Cutting - Cutting tools - Dies - Drawing (forming) - Errors - Extrusion - Long short-term memory - Turning - Wear of materials;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Journal article (JA)
引用
收藏
页码：881 / 897
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