### Abstract

Original language | English |
---|---|

Title of host publication | Reference Module in Materials Science and Materials Engineering |

Subtitle of host publication | Comprehensive Materials Processing |

Publisher | Elsevier |

Pages | 111-124 |

ISBN (Print) | 978-0-12-803581-8 |

DOIs | |

Publication status | Published - 16 Apr 2014 |

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### Cite this

*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

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*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.

Research output: Chapter in Book/Report/Conference proceeding › Chapter (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 -