Machine learning for multi-dimensional optimisation and predictive visualisation of laser machining
Open Access
- 11 January 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Journal of Intelligent Manufacturing
- Vol. 32 (5), 1471-1483
- https://doi.org/10.1007/s10845-020-01717-4
Abstract
No abstract availableKeywords
Funding Information
- Engineering and Physical Sciences Research Council (EP/N03368X/1)
- University of Southampton
This publication has 50 references indexed in Scilit:
- Modeling pulsed laser micromachining of micro geometries using machine-learning techniquesJournal of Intelligent Manufacturing, 2013
- An artificial neural network approach for the control of the laser milling processThe International Journal of Advanced Manufacturing Technology, 2012
- Multiphysical Simulation of Laser Material ProcessingPhysics Procedia, 2012
- Effects of laser operating parameters on metals micromachining with ultrafast lasersApplied Surface Science, 2009
- Friction characteristics of submicrometre-structured surfaces fabricated by particle-assisted near-field enhancement with femtosecond laserJournal of Physics D: Applied Physics, 2007
- Neural network modeling and analysis of the material removal process during laser machiningThe International Journal of Advanced Manufacturing Technology, 2003
- Comparison of heat-affected zones due to nanosecond and femtosecond laser pulses using transmission electronic microscopyApplied Physics Letters, 2002
- Precise laser ablation with ultrashort pulsesApplied Surface Science, 1997
- Simple technique for measurements of pulsed Gaussian-beam spot sizesOptics Letters, 1982
- Chapter 11 Survey of experimental optimization methodsPublished by Elsevier BV ,1978