Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization

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

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


The objective of this chapter is to give an essential presentation on the theory and practice of implementing modeling and optimization techniques to evaluate the welding process. This chapter includes comprehensive research works on the Design of Experiments (DoE.) The application of DoE, evolutionary algorithms, and computational network are widely used to develop a mathematical relationship between the welding process input parameters and the output variables of the weld joint in order to determine the welding input parameters that lead to the desired weld quality.
Original languageEnglish
Title of host publicationComprehensive Materials Processing
PublisherElsevier B.V.
ISBN (Print)978-0-08-096533-8
Publication statusPublished - 7 Apr 2014


  • ANN
  • Design of experiments
  • Laser welding
  • Modeling
  • Optimization
  • Response surface methodology
  • Taguchi method
  • Welding


Dive into the research topics of 'Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization'. Together they form a unique fingerprint.

Cite this