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

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

doi:10.1016/B978-0-08-096532-1.00618-X

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 proceeding › Chapter › peer-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 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 language	English
Title of host publication	Comprehensive Materials Processing
Publisher	Elsevier B.V.
Pages	111-124
ISBN (Print)	978-0-08-096533-8
DOIs	https://doi.org/10.1016/B978-0-08-096532-1.00618-X
Publication status	Published - 7 Apr 2014

Keywords

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

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

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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 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.",

keywords = "ANN, Design of experiments, Laser welding, Modeling, Optimization, Response surface methodology, Taguchi method, Welding",

author = "Abdul-Ghani Olabi and Abed Alaswad and K.Y. Benyounis",

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AU - Alaswad, Abed

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PY - 2014/4/7

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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.

KW - ANN

KW - Design of experiments

KW - Laser welding

KW - Modeling

KW - Optimization

KW - Response surface methodology

KW - Taguchi method

KW - Welding

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

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

M3 - Chapter

SN - 978-0-08-096533-8

SP - 111

EP - 124

BT - Comprehensive Materials Processing

PB - Elsevier B.V.

ER -

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

Abstract

Keywords

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