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
Uncontrolled Keywords: Analysis; Artificial neural network; Design of experiments; Genetic algorithm; Manufacturing; Metal forming; Optimization; Welding
Subjects: H800 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 > Advanced Design Engineering
UoA Collections > UoA15: General Engineering
Depositing User: $ Ian McDonald
Date Deposited: 15 Dec 2016 09:35
Last Modified: 15 Dec 2016 09:35
URI: http://www.open-access.bcu.ac.uk/id/eprint/3702

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