Multi-objective optimization of laser machining parameters for carbon-glass reinforced hybrid composites: Integrating gray relational analysis, regression, and ANN

Multi-objective optimization of laser machining parameters for carbon-glass reinforced hybrid composites: Integrating gray relational analysis, regression, and ANN

This research aims to improve the accuracy of cutting fiber-reinforced polymers (FRPs) utilizing CO2 laser processing techniques, with a particular focus on carbon-glass fiber-reinforced hybrid composites (CGFRP) using epoxy resin. Establishing CO2 laser machining as a dependable and effective proce...

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Bibliographic Details
Main Authors: Ashish A Desai, S.N. Khan, Pooja Bagane, Sagar Dnyandev Patil
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:MethodsX
Subjects:
Multi-objective gray relational analysis (MOGRA)
Laser machining
Carbon-glass fiber reinforced polymer (CGFRP) composites
Artificial neural networks (ANNs)
Top kerf width (TKWF)
Bottom kerf width (BKWF)
Online Access:http://www.sciencedirect.com/science/article/pii/S221501612400517X
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