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Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales

In crystalline metals at small scales, the dislocation density will be increased by stochastic events of dislocation network, leading to a universal power law for various material structures. In this work, we develop a model obeyed by a probability distribution of dislocation density to describe the...

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Detalles Bibliográficos
Autores principales: Huang, Guan-Rong, Huang, J. C., Tsai, W. Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5157047/
https://www.ncbi.nlm.nih.gov/pubmed/27976740
http://dx.doi.org/10.1038/srep39242
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author Huang, Guan-Rong
Huang, J. C.
Tsai, W. Y.
author_facet Huang, Guan-Rong
Huang, J. C.
Tsai, W. Y.
author_sort Huang, Guan-Rong
collection PubMed
description In crystalline metals at small scales, the dislocation density will be increased by stochastic events of dislocation network, leading to a universal power law for various material structures. In this work, we develop a model obeyed by a probability distribution of dislocation density to describe the dislocation formation in terms of a chain reaction. The leading order terms of steady-state of probability distribution gives physical and quantitative insight to the scaling exponent n values in the power law of sample size effect. This approach is found to be consistent with experimental n values in a wide range.
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spelling pubmed-51570472016-12-20 Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales Huang, Guan-Rong Huang, J. C. Tsai, W. Y. Sci Rep Article In crystalline metals at small scales, the dislocation density will be increased by stochastic events of dislocation network, leading to a universal power law for various material structures. In this work, we develop a model obeyed by a probability distribution of dislocation density to describe the dislocation formation in terms of a chain reaction. The leading order terms of steady-state of probability distribution gives physical and quantitative insight to the scaling exponent n values in the power law of sample size effect. This approach is found to be consistent with experimental n values in a wide range. Nature Publishing Group 2016-12-15 /pmc/articles/PMC5157047/ /pubmed/27976740 http://dx.doi.org/10.1038/srep39242 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Huang, Guan-Rong
Huang, J. C.
Tsai, W. Y.
Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales
title Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales
title_full Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales
title_fullStr Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales
title_full_unstemmed Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales
title_short Origin of sample size effect: Stochastic dislocation formation in crystalline metals at small scales
title_sort origin of sample size effect: stochastic dislocation formation in crystalline metals at small scales
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5157047/
https://www.ncbi.nlm.nih.gov/pubmed/27976740
http://dx.doi.org/10.1038/srep39242
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