Optimization Techniques in Material Processing

Abed Alaswad, K.Y. Benyounis, A.G. Olabi

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

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.

Original languageEnglish
Title of host publicationReference Module in Materials Science and Materials Engineering
PublisherElsevier
ISBN (Print)978-0-12-803581-8
DOIs
Publication statusPublished - 30 Nov 2015

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    Alaswad, A., Benyounis, K. Y., & Olabi, A. G. (2015). Optimization Techniques in Material Processing. In Reference Module in Materials Science and Materials Engineering Elsevier. https://doi.org/10.1016/B978-0-12-803581-8.04004-2