Author:
Zhou Jing-Tao,Zhao Xu,Gao Jing
Publisher
Springer Science and Business Media LLC
Subject
Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering
Reference34 articles.
1. Attanasio A, Ceretti E, Giardini C (2013) Analytical models for tool wear prediction during AISI 1045 turning operations. Procedia Cirp 8(11):218–223
2. Ji W, Shi J, Liu X, Wang L, Liang SY (2017) A novel approach of tool wear evaluation. J Manuf Sci Eng 139(9):091015
3. Kothuru A, Nooka SP, Victoria PI & Liu R. 2017 “Application of audible sound signals for tool wear monitoring and workpiece hardness identification in gear milling using machine learning techniques.” ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Volume 10.
4. Mikolajczyk T, Nowicki K, Klodowski A, Pimenov YD (2017) Neural network approach for automatic image analysis of cutting edge wear. Mech Syst Signal Process 88:100–110
5. Kurada S, Bradley C (1997) A review of machine vision sensors for tool condition monitoring. Comput Ind 34(1):55–72
Cited by
64 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献