Using machine learning for cutting tool condition monitoring and prediction during machining of tungsten (2023)
Attributed to:
SENSYCUT- Sensor Enabled Systems for Precision Cutting
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1080/0951192x.2023.2257648
Publication URI: http://dx.doi.org/10.1080/0951192x.2023.2257648
Type: Journal Article/Review
Parent Publication: International Journal of Computer Integrated Manufacturing
Issue: 6