Optimization Techniques in Material Processing

Abed Alaswad, K.Y. Benyounis, Abdul-Ghani Olabi

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

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 B.V.
ISBN (Print)978-0-12-803581-8
DOIs
Publication statusPublished - 1 Dec 2015

Keywords

  • analysis
  • artificial neural network
  • design of experiments
  • genetic algorithm
  • manufacturing
  • metal forming
  • optimization
  • welding

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