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Modelling the formation and self-healing of creep damage in iron-based alloys

A self-consistent model is applied to predict the creep cavity growth and strain rates in metals from the perspective of self-healing. In this model, the creep cavity growth rate is intricately linked to the strain rate. The self-healing process causes precipitates to grow inside creep cavities. Due...

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Autores principales: Versteylen, C. D., Sluiter, M. H. F., van Dijk, N. H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428279/
https://www.ncbi.nlm.nih.gov/pubmed/30956350
http://dx.doi.org/10.1007/s10853-018-2666-9
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author Versteylen, C. D.
Sluiter, M. H. F.
van Dijk, N. H.
author_facet Versteylen, C. D.
Sluiter, M. H. F.
van Dijk, N. H.
author_sort Versteylen, C. D.
collection PubMed
description A self-consistent model is applied to predict the creep cavity growth and strain rates in metals from the perspective of self-healing. In this model, the creep cavity growth rate is intricately linked to the strain rate. The self-healing process causes precipitates to grow inside creep cavities. Due to the Kirkendall effect, a diffusional flux of vacancies is induced in the direction away from the creep cavity during this selective self-healing precipitation. This process impedes the creep cavity growth. The critical stress for self-healing can be derived, and an analysis is made of the efficiency of self-healing elements in binary Fe–Cu, Fe–Au, Fe–Mo, and Fe–W alloys. Fe–Au is found to be the most efficient self-healing alloy. Fe–Mo and Fe–W alloys provide good alternatives that have the potential to be employed at high temperatures.
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spelling pubmed-64282792019-04-05 Modelling the formation and self-healing of creep damage in iron-based alloys Versteylen, C. D. Sluiter, M. H. F. van Dijk, N. H. J Mater Sci Metals A self-consistent model is applied to predict the creep cavity growth and strain rates in metals from the perspective of self-healing. In this model, the creep cavity growth rate is intricately linked to the strain rate. The self-healing process causes precipitates to grow inside creep cavities. Due to the Kirkendall effect, a diffusional flux of vacancies is induced in the direction away from the creep cavity during this selective self-healing precipitation. This process impedes the creep cavity growth. The critical stress for self-healing can be derived, and an analysis is made of the efficiency of self-healing elements in binary Fe–Cu, Fe–Au, Fe–Mo, and Fe–W alloys. Fe–Au is found to be the most efficient self-healing alloy. Fe–Mo and Fe–W alloys provide good alternatives that have the potential to be employed at high temperatures. Springer US 2018-07-17 2018 /pmc/articles/PMC6428279/ /pubmed/30956350 http://dx.doi.org/10.1007/s10853-018-2666-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Metals
Versteylen, C. D.
Sluiter, M. H. F.
van Dijk, N. H.
Modelling the formation and self-healing of creep damage in iron-based alloys
title Modelling the formation and self-healing of creep damage in iron-based alloys
title_full Modelling the formation and self-healing of creep damage in iron-based alloys
title_fullStr Modelling the formation and self-healing of creep damage in iron-based alloys
title_full_unstemmed Modelling the formation and self-healing of creep damage in iron-based alloys
title_short Modelling the formation and self-healing of creep damage in iron-based alloys
title_sort modelling the formation and self-healing of creep damage in iron-based alloys
topic Metals
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6428279/
https://www.ncbi.nlm.nih.gov/pubmed/30956350
http://dx.doi.org/10.1007/s10853-018-2666-9
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