Towards Sustainable and Intelligent Machining: Energy Footprint and Tool Condition Monitoring for Media-Assisted Processes (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/10.36897/jme/166463
Publication URI: http://dx.doi.org/10.36897/jme/166463
Type: Journal Article/Review
Parent Publication: Journal of Machine Engineering