Tool wear prediction in end milling of Ti-6Al-4V through Kalman filter based fusion of texture features and cutting forces
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering
Reference24 articles.
1. Real-time tool wear monitoring in milling using a cutting condition independent method;Nouri;International Journal of Machine Tools and Manufacture,2015
2. In-process detection of tool breakages using time series monitoring of cutting forces;Altintas;International Journal of Machine Tools and Manufacture,1988
3. Comprehensive tool wear estimation in finish-machining via multivariate time-series analysis of 3-D cutting forces;Yao;CIRP Annals-Manufacturing Technology,1990
4. Development of a tool wear observer model for online tool condition monitoring and control in machining nickel-based alloys;Chen;The International Journal of Advanced Manufacturing Technology,2009
5. TWEM, a method based on cutting forces—monitoring tool wear in face milling;Kuljanic;International Journal of Machine Tools and Manufacture,2005
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