A computationally efficient thermal modelling approach of the linear friction welding process

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dc.contributor.author Buhr, Clement
dc.contributor.author Colegrove, Paul A.
dc.contributor.author McAndrew, Anthony
dc.date.accessioned 2017-09-19T09:54:28Z
dc.date.available 2017-09-19T09:54:28Z
dc.date.issued 2017-09-14
dc.identifier.citation Buhr C, Colegrove PA, McAndrew AR. (2018) A computationally efficient thermal modelling approach of the linear friction welding process. Journal of Materials Processing Technology, Volume 252, February 2018, pp. 849-858 en_UK
dc.identifier.issn 0924-0136
dc.identifier.uri http://dx.doi.org/10.1016/j.jmatprotec.2017.09.013
dc.identifier.uri https://dspace.lib.cranfield.ac.uk/handle/1826/12510
dc.description.abstract Numerical models used to simulate LFW rely on the modelling of the oscillations to generate heat. As a consequence, simulations are time consuming, making analysis of 3D geometries difficult. To address this, a model was developed of a Ti-6Al–4 V LFW that applied the weld heat at the interface and ignored the material deformation and expulsion which was captured by sequentially removing row of elements. The model captured the experimental trends and showed that the maximum interface temperature was achieved when a burn-off rate of between 2 and 3 mm/s occurred. Moreover, the models showed that the interface temperature is reduced when a weld is produced with a higher pressure and when the workpieces are oscillated along the shorter of the two interface dimensions. This modelling approach provides a computationally efficient foundation for subsequent residual stress modelling, which is of interest to end users of the process. en_UK
dc.language.iso en en_UK
dc.publisher Elsevier en_UK
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Linear friction welding en_UK
dc.subject Modeling en_UK
dc.subject Titanium alloy en_UK
dc.title A computationally efficient thermal modelling approach of the linear friction welding process en_UK
dc.type Article en_UK


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