Zhang, Qian, Mahfouf, M., Panoutsos, G., Beamish, K., Liu, X. (2015) Multiobjective optimal design of friction stir welding considering quality and cost issues. Science and Technology of Welding and Joining, 20 (7). pp. 607-615. ISSN 1362-1718. (doi:10.1179/1362171815Y.0000000046) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided) (KAR id:50513)
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Official URL: http://doi.org/10.1179/1362171815Y.0000000046 |
Abstract
Because of the high complexity in microstructure evolution in friction stir welding, it becomes very difficult to design optimal welding parameters. To solve this problem, in the current paper, soft-computing-based data-driven models are developed to provide accurate and instant predictions for the welding process, and a multi-objective optimisation approach is employed to find optimal solutions to achieve the desired quality and economic objectives. The current work studies the aluminium AA5083-O as an example, where not only weld quality and mechanical properties of a joint, but also in-process properties and production cost, are considered as objectives in the optimal design.
Item Type: | Article |
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DOI/Identification number: | 10.1179/1362171815Y.0000000046 |
Uncontrolled keywords: | welding; aluminium; cost; properties; multi-objective; optimisation; design |
Subjects: |
Q Science > Q Science (General) > Q335 Artificial intelligence T Technology > TA Engineering (General). Civil engineering (General) > TA168 Systems engineering T Technology > TA Engineering (General). Civil engineering (General) > TA401 Materials engineering and construction |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Qian Zhang |
Date Deposited: | 18 Sep 2015 12:15 UTC |
Last Modified: | 17 Aug 2022 10:59 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/50513 (The current URI for this page, for reference purposes) |
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