Soar, Peter, Kao, Andrew ORCID: https://orcid.org/0000-0002-6430-2134, Shevchenko, Natalia, Eckert, Sven, Djambazov, Georgi ORCID: https://orcid.org/0000-0001-8812-1269 and Pericleous, Kyriacos A ORCID: https://orcid.org/0000-0002-7426-9999 (2022) Predicting concurrent structural mechanical mechanisms during microstructure evolution. Philosophical Transactions of The Royal Society A: Mathematical, Physical and Engineering Sciences, 380 (2217). pp. 1-11. ISSN 364-503X (Print), 1471-2962 (Online) (doi:10.1098/rsta.2021.0149)

Preview

PDF (AAM) 34772_PERICLEOUS_ Predicting_concurrent_structural_mechanical.pdf - Accepted Version Available under License Creative Commons Attribution. Download (1MB) | Preview

Abstract

The interdependence between structural mechanics and microstructure solidification has been widely observed experimentally as a factor leading to undesirable macroscopic properties and casting defects. Despite this, numerical modelling of microstructure solidification often neglects this interaction and is therefore unable to predict key mechanisms such as the development of misoriented grains. This paper presents a numerical method coupling a finite volume structural mechanics solver to a cellular automata solidification solver, where gravity or pressure-driven displacements alter the local orientation and thereby growth behaviour of the solidifying dendrites. Solutions obtained using this model are presented which show fundamental behaviours observed in experiments. The results show that small, localized deformations can lead to significant changes in the crystallographic orientation of a dendrite and ultimately affect the overall microstructure development.

Item Type:	Article
Additional Information:	This article is part of the theme issue ’Transport phenomena in complex systems (part 2)'.
Uncontrolled Keywords:	dendrite deformation; crystallographic orientation; microstructure solidification; numerical modelling; structural mechanics
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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:	06 Apr 2022 10:40
URI:	http://gala.gre.ac.uk/id/eprint/34772

Actions (login required)

View Item

Downloads