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Optimization of different welding processes using statistical and numerical approaches – A reference guide

Benyounis, Khaled and Olabi, Abdul-Ghani (2008) Optimization of different welding processes using statistical and numerical approaches – A reference guide. Advances in Engineering Software, 39 (6). pp. 483-496. ISSN 0965-9978

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Welding input parameters play a very significant role in determining the quality of a weld joint. The joint quality can be defined in terms of properties such as weld-bead geometry, mechanical properties, and distortion. Generally, all welding processes are used with the aim of obtaining a welded joint with the desired weld-bead parameters, excellent mechanical properties with minimum distortion. Nowadays, application of design of experiment (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. A comprehensive literature review of the application of these methods in the area of welding has been introduced herein. This review was classified according to the output features of the weld, i.e. bead geometry and mechanical properties of the welds.

Item Type:Article (Published)
Uncontrolled Keywords:Quality of weld; welding; RSM; Ann; Taguchi; optimization
Subjects:Engineering > Mechanical engineering
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Mechanical and Manufacturing Engineering
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Copyright Information:© 2008 Elsevier
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17608
Deposited On:26 Nov 2012 15:46 by Abdul Olabi. Last Modified 09 Mar 2017 10:06

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