Using machine learning for cutting tool condition monitoring and prediction during machining of tungsten
Author:
Affiliation:
1. Department of Mechanical Engineering, University of Bath, Bath, UK
2. United Kingdom Atomic Energy Authority, Culham Science Center, Abingdon, UK
3. Center for Advanced Design and Manufacturing, University of Bath, Bath, UK
Funder
UK Atomic Energy Authority
EPSRC
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2023.2257648
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