Application of the Combined ANN and GA for Multi-Response Optimization of Cutting Parameters for the Turning of Glass Fiber-Reinforced Polymer Composites

Application of the Combined ANN and GA for Multi-Response Optimization of Cutting Parameters for the Turning of Glass Fiber-Reinforced Polymer Composites

Glass fiber-reinforced polymer (GFRP) composites find wide applications in automobile, aerospace, aircraft and marine industries due to their attractive properties such as lightness of weight, high strength-to-weight ratio, high stiffness, good dimensional stability and corrosion resistance. Althoug...

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Bibliographic Details
Main Authors: Azhar Equbal, Mohammad Shamim, Irfan Anjum Badruddin, Md. Israr Equbal, Anoop Kumar Sood, Nik Nazri Nik Ghazali, Zahid A. Khan
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Mathematics
Subjects:
glass fiber-reinforced polymer composite
turning
full factorial design of experiments
artificial neural network
genetic algorithm
multi-response optimization
Online Access:https://www.mdpi.com/2227-7390/8/6/947

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https://www.mdpi.com/2227-7390/8/6/947

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