Optimization Techniques in Material Processing

Alaswad, Abed and Benyounis, K. and Olabi, A.G. (2016) Optimization Techniques in Material Processing. In: Reference Module in Materials Science and Materials Engineering. Elsevier. ISBN 978-0-12-803581-8

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Abstract

The objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate different manufacturing process for a wide range of materials. This chapter includes comprehensive research works on the Design of Experiments (DoE), and the Artificial Neural Network (ANN) that is widely used to develop a mathematical relationship between the process input parameters and the output.

Item Type:	Book Section
Dates:	Date Event 2016 Published
Uncontrolled Keywords:	Analysis; Artificial neural network; Design of experiments; Genetic algorithm; Manufacturing; Metal forming; Optimization; Welding
Subjects:	CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-09 - chemical, process and energy engineering
Divisions:	Faculty of Computing, Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment > School of Engineering
Depositing User:	Ian Mcdonald
Date Deposited:	15 Dec 2016 09:35
Last Modified:	22 Mar 2023 12:11
URI:	https://www.open-access.bcu.ac.uk/id/eprint/3702

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