Fingerprint
Dive into the research topics of 'Using machine learning for cutting tool condition monitoring and prediction during machining of tungsten'. Together they form a unique fingerprint.- Sort by
- Weight
- Alphabetically
Using machine learning for cutting tool condition monitoring and prediction during machining of tungsten
Samuel Omole, Hakan Dogan, Alexander J G Lunt, Simon Kirk, Alborz Shokrani
- Department of Mechanical Engineering
- Centre for Integrated Materials, Processes & Structures (IMPS)
- IAAPS: Propulsion and Mobility
- EPSRC Centre for Doctoral Training in Advanced Automotive Propulsion Systems (AAPS CDT)
- Centre for Digital, Manufacturing & Design (dMaDe)
- Made Smarter Innovation: Centre for People-Led Digitalisation
Research output: Contribution to journal › Article › peer-review
4
Citations
(SciVal)