Soar, P., Kao, A. ORCID: 0000-0002-6430-2134, Djambazov, G. ORCID: 0000-0001-8812-1269, Shevchenko, N., Eckert, S. and Pericleous, K. ORCID: 0000-0002-7426-9999 (2020) The integration of structural mechanics into microstructure solidification modelling. IOP Conference Series: Materials Science and Engineering, 861:012054. ISSN 1757-8981 (Print), 1757-899X (Online) (doi:https://doi.org/10.1088/1757-899X/861/1/012054)

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Abstract

In situ structural mechanics are an often neglected area when modelling alloy microstructure during solidification, despite the existence of practical examples and studies which seem to indicate that the interaction between thermal or mechanical stresses and microstructure can have a significant impact on its evolution and hence the final properties at a macroscopic level. A bespoke structural mechanics solver using the finite volume method has been developed to solve the linear elasticity equations, with design choices being made to facilitate the coupling of this solver to run in situ with an existing solidification model. The accuracy of the structural mechanics solver is verified against an analytic solution and initial results from a fully coupled system are presented which demonstrate in a fundamental example that the interaction between structural mechanics and a solidifying dendrite can lead to a significant change in growth behaviour.

Item Type:	Article
Additional Information:	Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Uncontrolled Keywords:	alloy microstructure, stress analysis, finite volume method
Subjects:	Q Science > QA Mathematics
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) Faculty of Engineering & Science > Centre for Numerical Modelling & Process Analysis (CNMPA) > Computational Science & Engineering Group (CSEG) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	23 May 2022 10:03
URI:	http://gala.gre.ac.uk/id/eprint/28564

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