Phase-field model of precipitation processes with coherency loss

Abstract A phase-field model is proposed to simulate coherency loss coupled with microstructure evolution. A special field variable is employed to describe the degree of coherency loss of each particle and its evolution is governed by a Ginzburg-Landau type kinetic equation. For the sake of computat...

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Autores principales:	Tian-Le Cheng, You-Hai Wen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765
Acceso en línea:	https://doaj.org/article/a7afd36b8d3a47c9bc71c6dbafc1786e
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spelling	oai:doaj.org-article:a7afd36b8d3a47c9bc71c6dbafc1786e2021-12-02T11:36:21ZPhase-field model of precipitation processes with coherency loss10.1038/s41524-021-00503-x2057-3960https://doaj.org/article/a7afd36b8d3a47c9bc71c6dbafc1786e2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41524-021-00503-xhttps://doaj.org/toc/2057-3960Abstract A phase-field model is proposed to simulate coherency loss coupled with microstructure evolution. A special field variable is employed to describe the degree of coherency loss of each particle and its evolution is governed by a Ginzburg-Landau type kinetic equation. For the sake of computational efficiency, a flood-fill algorithm is introduced that can drastically reduce the required number of field variables, which allows the model to efficiently simulate a large number of particles sufficient for characterizing their statistical features during Ostwald ripening. The model can incorporate size dependence of coherency loss, metastability of coherent particles, and effectively incorporate the underlying mechanisms of coherency loss by introducing a so-called differential energy criterion. The model is applied to simulate coarsening of Al3Sc precipitates in aluminum alloy and comprehensively compared with experiments. Our results clearly show how the particle size distribution is changed during coherency loss and affects the coarsening rate.Tian-Le ChengYou-Hai WenNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 7, Iss 1, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765
spellingShingle	Materials of engineering and construction. Mechanics of materials TA401-492 Computer software QA76.75-76.765 Tian-Le Cheng You-Hai Wen Phase-field model of precipitation processes with coherency loss
description	Abstract A phase-field model is proposed to simulate coherency loss coupled with microstructure evolution. A special field variable is employed to describe the degree of coherency loss of each particle and its evolution is governed by a Ginzburg-Landau type kinetic equation. For the sake of computational efficiency, a flood-fill algorithm is introduced that can drastically reduce the required number of field variables, which allows the model to efficiently simulate a large number of particles sufficient for characterizing their statistical features during Ostwald ripening. The model can incorporate size dependence of coherency loss, metastability of coherent particles, and effectively incorporate the underlying mechanisms of coherency loss by introducing a so-called differential energy criterion. The model is applied to simulate coarsening of Al3Sc precipitates in aluminum alloy and comprehensively compared with experiments. Our results clearly show how the particle size distribution is changed during coherency loss and affects the coarsening rate.
format	article
author	Tian-Le Cheng You-Hai Wen
author_facet	Tian-Le Cheng You-Hai Wen
author_sort	Tian-Le Cheng
title	Phase-field model of precipitation processes with coherency loss
title_short	Phase-field model of precipitation processes with coherency loss
title_full	Phase-field model of precipitation processes with coherency loss
title_fullStr	Phase-field model of precipitation processes with coherency loss
title_full_unstemmed	Phase-field model of precipitation processes with coherency loss
title_sort	phase-field model of precipitation processes with coherency loss
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/a7afd36b8d3a47c9bc71c6dbafc1786e
work_keys_str_mv	AT tianlecheng phasefieldmodelofprecipitationprocesseswithcoherencyloss AT youhaiwen phasefieldmodelofprecipitationprocesseswithcoherencyloss
_version_	1718395780006412288

Phase-field model of precipitation processes with coherency loss

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