Fast and accurate adaptive finite difference method for dendritic growth
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Darae | - |
dc.contributor.author | Kim, Junseok | - |
dc.date.accessioned | 2021-09-01T18:17:10Z | - |
dc.date.available | 2021-09-01T18:17:10Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-03 | - |
dc.identifier.issn | 0010-4655 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/67219 | - |
dc.description.abstract | We propose a fast and accurate adaptive numerical method for solving a phase-field model for dendritic growth. The phase-field model for dendritic growth consists of two equations. One is for capturing the interface between solid and melt. The other is for the temperature distribution. For the phase-field equation, we apply a hybrid explicit method on a time-dependent narrow-band domain, which is defined using the phase-field function. For the temperature equation, we apply the explicit Euler method on the whole computational domain. The novelties of the proposed numerical algorithm are that it is very simple and that it does not require the conventional complex adaptive data structures. Our numerical simulation results are consistent with previous results. Furthermore, the computational time required (CPU time) is shorter. (C) 2018 Elsevier B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | PHASE-FIELD SIMULATION | - |
dc.subject | BINARY ALLOY | - |
dc.subject | DIRECTIONAL SOLIDIFICATION | - |
dc.subject | CRYSTAL-GROWTH | - |
dc.subject | MESH REFINEMENT | - |
dc.subject | FACET FORMATION | - |
dc.subject | EFFICIENT | - |
dc.subject | CONVECTION | - |
dc.subject | MODEL | - |
dc.subject | ALGORITHM | - |
dc.title | Fast and accurate adaptive finite difference method for dendritic growth | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Junseok | - |
dc.identifier.doi | 10.1016/j.cpc.2018.10.020 | - |
dc.identifier.scopusid | 2-s2.0-85056714596 | - |
dc.identifier.wosid | 000458227100010 | - |
dc.identifier.bibliographicCitation | COMPUTER PHYSICS COMMUNICATIONS, v.236, pp.95 - 103 | - |
dc.relation.isPartOf | COMPUTER PHYSICS COMMUNICATIONS | - |
dc.citation.title | COMPUTER PHYSICS COMMUNICATIONS | - |
dc.citation.volume | 236 | - |
dc.citation.startPage | 95 | - |
dc.citation.endPage | 103 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
dc.relation.journalWebOfScienceCategory | Physics, Mathematical | - |
dc.subject.keywordPlus | PHASE-FIELD SIMULATION | - |
dc.subject.keywordPlus | BINARY ALLOY | - |
dc.subject.keywordPlus | DIRECTIONAL SOLIDIFICATION | - |
dc.subject.keywordPlus | CRYSTAL-GROWTH | - |
dc.subject.keywordPlus | MESH REFINEMENT | - |
dc.subject.keywordPlus | FACET FORMATION | - |
dc.subject.keywordPlus | EFFICIENT | - |
dc.subject.keywordPlus | CONVECTION | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordPlus | ALGORITHM | - |
dc.subject.keywordAuthor | Phase-field model | - |
dc.subject.keywordAuthor | Dendritic growth | - |
dc.subject.keywordAuthor | Crystal morphology | - |
dc.subject.keywordAuthor | Solidification | - |
dc.subject.keywordAuthor | Growth from melt | - |
dc.subject.keywordAuthor | Adaptive numerical method | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.