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Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation
A numerical modeling method is proposed for the melting process of Titanium metals of Titanium alloys powder preparation used for 3D printing. The melting process simulation, which involves the tight coupling between electromagnetic field, thermal field and fluid flow as well as deformation associat...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629983/ https://www.ncbi.nlm.nih.gov/pubmed/34845264 http://dx.doi.org/10.1038/s41598-021-02316-w |
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author | Li, Hailin Shen, Yongpeng Liu, Pu Liang, Weihua Wang, Mingjie Wang, Shuhong |
author_facet | Li, Hailin Shen, Yongpeng Liu, Pu Liang, Weihua Wang, Mingjie Wang, Shuhong |
author_sort | Li, Hailin |
collection | PubMed |
description | A numerical modeling method is proposed for the melting process of Titanium metals of Titanium alloys powder preparation used for 3D printing. The melting process simulation, which involves the tight coupling between electromagnetic field, thermal field and fluid flow as well as deformation associated during the melting process, is conducted by adopting the finite element method. A two-way coupling strategy is used to include the interactions between these fields by incorporating the material properties dependent on temperature and the coupling terms. In addition, heat radiation and phase change are also considered in this paper. The arbitrary Lagrangian–Eulerian formulation is exploited to model the deformation of Titanium metal during the melting process. The distribution of electromagnetic flux density, eddy current density, temperature, and fluid flow velocity at different time can be determined by utilizing this numerical method. In a word, the method proposed in this paper provides a general way to predict the melting process of electrode induction melting gas atomization (EIGA) dynamically, and it also could be used as a reference for the design and optimization of EIGA. |
format | Online Article Text |
id | pubmed-8629983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-86299832021-12-01 Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation Li, Hailin Shen, Yongpeng Liu, Pu Liang, Weihua Wang, Mingjie Wang, Shuhong Sci Rep Article A numerical modeling method is proposed for the melting process of Titanium metals of Titanium alloys powder preparation used for 3D printing. The melting process simulation, which involves the tight coupling between electromagnetic field, thermal field and fluid flow as well as deformation associated during the melting process, is conducted by adopting the finite element method. A two-way coupling strategy is used to include the interactions between these fields by incorporating the material properties dependent on temperature and the coupling terms. In addition, heat radiation and phase change are also considered in this paper. The arbitrary Lagrangian–Eulerian formulation is exploited to model the deformation of Titanium metal during the melting process. The distribution of electromagnetic flux density, eddy current density, temperature, and fluid flow velocity at different time can be determined by utilizing this numerical method. In a word, the method proposed in this paper provides a general way to predict the melting process of electrode induction melting gas atomization (EIGA) dynamically, and it also could be used as a reference for the design and optimization of EIGA. Nature Publishing Group UK 2021-11-29 /pmc/articles/PMC8629983/ /pubmed/34845264 http://dx.doi.org/10.1038/s41598-021-02316-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Li, Hailin Shen, Yongpeng Liu, Pu Liang, Weihua Wang, Mingjie Wang, Shuhong Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
title | Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
title_full | Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
title_fullStr | Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
title_full_unstemmed | Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
title_short | Multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
title_sort | multi-physics coupling simulation of electrode induction melting gas atomization for advanced titanium alloys powder preparation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629983/ https://www.ncbi.nlm.nih.gov/pubmed/34845264 http://dx.doi.org/10.1038/s41598-021-02316-w |
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