A data-driven approach to predicting joint efficiency in FSW of aluminium alloys
- Hoyos E. ,
- Hoyos M. ,
- Serna M.C. ,
- et al
- Hoyos E. ,
- Hoyos M. ,
- Serna M.C. ,
- Lochmuller C. ,
- Montoya Y. and
- Cordoba J.
May 2024
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This study addresses the challenges of predicting joint efficiency for friction stir welding (FSW). It adopts a data driven approach, leveraging data analytics to develop accurate predictive models. A database of 1780 records from diverse aluminium series (2XXX, 5XXX, 6XXX and 7XXX), parameter combinations, and tool designs were compiled and augmented through synthetic data generation.
13th International Symposium, 21-23 May 2024, Session 10: Modelling, Paper 02
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