Bollada, PC, Jimack, PK and Mullis, AM orcid.org/0000-0002-5215-9959 (2018) A numerical approach to compensate for phase field interface effects in alloy solidification. Computational Materials Science, 151. pp. 338-350. ISSN 0927-0256
Abstract
The use of a phase field approach to simulate solidification of metallic alloys has many computational advantages, but if obtaining quantitative results relies on the interface between phases being physically realistic, the computational advantage is much reduced. We propose here a method for compensating for a computationally convenient large interface width by simply transferring a numerically derived 1D steady state anti-trapping current to a general non-steady 2D simulation. The method proposed is not restricted to dilute or ideal materials and has a high degree of interface width independence, illustrated here with two models, illustrating a broad applicability for the approach.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Authors. Published by Elsevier B.V. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Crystal formation; Phase field; Alloy solidification; Non-equilibrium thermodynamics; Anti-trapping; Solute trapping |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/N007638/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Jun 2018 12:53 |
Last Modified: | 25 Jun 2023 21:22 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.commatsci.2018.04.050 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:131763 |