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Multiobjective optimal design of friction stir welding considering quality and cost issues

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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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
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)

University of Kent Author Information

Zhang, Qian.

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