Karazi, Shadi 
ORCID: 0000-0002-8887-0873, Moradi, Mahmoud ORCID: 0000-0001-5750-120X and Benyounis, Khaled ORCID: 0000-0001-6599-4892
(2019)
Statistical and numerical approaches for modelling and optimising Laser
micromachining process-review.
In: Hashmi, Saleem, (ed.)
Reference Module in Materials Science and Materials Engineering.
Elsevier.
ISBN 978-0-12-803581-8
Abstract
This chapter presents the modelling and optimization techniques commonly used in
engineering applications especially in Laser Micromachining process. Design of Experiment
DOE (Response Surface Method and Taguchi), Artificial Neural Network (ANN), Genetic
Algorithm (GA), and Particle swarm optimization (PSO) and mixed techniques are explained
briefly. Furthermore, a review of laser micromachining processes parameters optimization was
studied. Recent researches which used different approaches for modelling and optimization
was presented.
Metadata
| Item Type: | Book Section |
|---|---|
| Refereed: | Yes |
| Uncontrolled Keywords: | Laser micromachining; Modeling; Optimization |
| Subjects: | UNSPECIFIED |
| DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering |
| Publisher: | Elsevier |
| Official URL: | http://dx.doi.org/10.1016/B978-0-12-803581-8.11650... |
| Copyright Information: | ©2019 Elsevier |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| ID Code: | 23411 |
| Deposited On: | 06 Jun 2019 11:47 by Thomas Murtagh . Last Modified 29 Apr 2021 03:30 |
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