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The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems
The analysis of grain boundary (GB) diffusion in metallic systems based on Cu, Ni, Ag and Al was made to set demonstrate the common behavior. It was shown that the slow penetration for 11 systems can be connected with negative segregation or specific interatomic interaction. Two energetic parameters...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966795/ https://www.ncbi.nlm.nih.gov/pubmed/36837060 http://dx.doi.org/10.3390/ma16041431 |
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author | Tcherdyntsev, Victor Rodin, Alexey |
author_facet | Tcherdyntsev, Victor Rodin, Alexey |
author_sort | Tcherdyntsev, Victor |
collection | PubMed |
description | The analysis of grain boundary (GB) diffusion in metallic systems based on Cu, Ni, Ag and Al was made to set demonstrate the common behavior. It was shown that the slow penetration for 11 systems can be connected with negative segregation or specific interatomic interaction. Two energetic parameters such as energy of interaction with GB and energy of interatomic interaction are proposed as main characteristics. The analysis of a tendency toward segregation and tendency of intermediate phase formation in these terms allows us to divide the systems on four groups and formulate a qualitative way to predict the behavior of the diffusing elements in a non-dilute solution. Mathematical formulation of GB diffusion problem and typical solutions are presented. |
format | Online Article Text |
id | pubmed-9966795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99667952023-02-26 The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems Tcherdyntsev, Victor Rodin, Alexey Materials (Basel) Article The analysis of grain boundary (GB) diffusion in metallic systems based on Cu, Ni, Ag and Al was made to set demonstrate the common behavior. It was shown that the slow penetration for 11 systems can be connected with negative segregation or specific interatomic interaction. Two energetic parameters such as energy of interaction with GB and energy of interatomic interaction are proposed as main characteristics. The analysis of a tendency toward segregation and tendency of intermediate phase formation in these terms allows us to divide the systems on four groups and formulate a qualitative way to predict the behavior of the diffusing elements in a non-dilute solution. Mathematical formulation of GB diffusion problem and typical solutions are presented. MDPI 2023-02-08 /pmc/articles/PMC9966795/ /pubmed/36837060 http://dx.doi.org/10.3390/ma16041431 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Tcherdyntsev, Victor Rodin, Alexey The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems |
title | The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems |
title_full | The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems |
title_fullStr | The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems |
title_full_unstemmed | The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems |
title_short | The Algorithm to Predict the Grain Boundary Diffusion in Non-Dilute Metallic Systems |
title_sort | algorithm to predict the grain boundary diffusion in non-dilute metallic systems |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966795/ https://www.ncbi.nlm.nih.gov/pubmed/36837060 http://dx.doi.org/10.3390/ma16041431 |
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