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

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

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 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 publicationReference Module in Materials Science and Materials Engineering
Subtitle of host publication Comprehensive Materials Processing
PublisherElsevier
Pages111-124
ISBN (Print)978-0-12-803581-8
DOIs
Publication statusPublished - 16 Apr 2014

Fingerprint

Design of experiments
Welding
Welds
Evolutionary algorithms

Cite this

Olabi, A. G., Alaswad, A., & Benyounis, K. Y. (2014). 6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization. In Reference Module in Materials Science and Materials Engineering: Comprehensive Materials Processing (pp. 111-124). Elsevier. https://doi.org/10.1016/B978-0-08-096532-1.00618-X
Olabi, A.G. ; Alaswad, Abed ; Benyounis, K.Y. / 6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization. Reference Module in Materials Science and Materials Engineering: Comprehensive Materials Processing. Elsevier, 2014. pp. 111-124
@inbook{0cb9735de770443192b0369b03729c69,
title = "6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization",
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 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.",
author = "A.G. Olabi and Abed Alaswad and K.Y. Benyounis",
year = "2014",
month = "4",
day = "16",
doi = "10.1016/B978-0-08-096532-1.00618-X",
language = "English",
isbn = "978-0-12-803581-8",
pages = "111--124",
booktitle = "Reference Module in Materials Science and Materials Engineering",
publisher = "Elsevier",
address = "Netherlands",

}

Olabi, AG, Alaswad, A & Benyounis, KY 2014, 6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization. in Reference Module in Materials Science and Materials Engineering: Comprehensive Materials Processing. Elsevier, pp. 111-124. https://doi.org/10.1016/B978-0-08-096532-1.00618-X

6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization. / Olabi, A.G.; Alaswad, Abed; Benyounis, K.Y.

Reference Module in Materials Science and Materials Engineering: Comprehensive Materials Processing. Elsevier, 2014. p. 111-124.

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

TY - CHAP

T1 - 6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization

AU - Olabi, A.G.

AU - Alaswad, Abed

AU - Benyounis, K.Y.

PY - 2014/4/16

Y1 - 2014/4/16

N2 - 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.

AB - 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.

UR - https://www.sciencedirect.com/science/article/pii/B978008096532100618X

U2 - 10.1016/B978-0-08-096532-1.00618-X

DO - 10.1016/B978-0-08-096532-1.00618-X

M3 - Chapter (peer-reviewed)

SN - 978-0-12-803581-8

SP - 111

EP - 124

BT - Reference Module in Materials Science and Materials Engineering

PB - Elsevier

ER -

Olabi AG, Alaswad A, Benyounis KY. 6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization. In Reference Module in Materials Science and Materials Engineering: Comprehensive Materials Processing. Elsevier. 2014. p. 111-124 https://doi.org/10.1016/B978-0-08-096532-1.00618-X