### 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 |
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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 |

## Fingerprint Dive into the research topics of '6.06- Mathematical Modeling of Weld Phenomena, Part 2: Design of Experiments and Optimization'. Together they form a unique fingerprint.

## 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