Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack
Abstract The complex degradation of metallic materials in aggressive environments can result in morphological and microstructural changes. The phase-field (PF) method is an effective computational approach to understanding and predicting the morphology, phase change and/or transformation of material...
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2021-09-01
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Series: | npj Computational Materials |
Online Access: | https://doi.org/10.1038/s41524-021-00612-7 |
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doaj-89353b40e8bb4be697bfea4cb9a7360b2021-09-12T11:16:16ZengNature Publishing Groupnpj Computational Materials2057-39602021-09-017112110.1038/s41524-021-00612-7Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attackTalha Qasim Ansari0Haitao Huang1San-Qiang Shi2Department of Applied Physics and Research Institute of Smart Energy, the Hong Kong Polytechnic UniversityDepartment of Applied Physics and Research Institute of Smart Energy, the Hong Kong Polytechnic UniversityDepartment of Mechanical Engineering, the Hong Kong Polytechnic UniversityAbstract The complex degradation of metallic materials in aggressive environments can result in morphological and microstructural changes. The phase-field (PF) method is an effective computational approach to understanding and predicting the morphology, phase change and/or transformation of materials. PF models are based on conserved and non-conserved field variables that represent each phase as a function of space and time coupled with time-dependent equations that describe the mechanisms. This report summarizes progress in the PF modeling of degradation of metallic materials in aqueous corrosion, hydrogen-assisted cracking, high-temperature metal oxidation in the gas phase and porous structure evolution with insights to future applications.https://doi.org/10.1038/s41524-021-00612-7 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Talha Qasim Ansari Haitao Huang San-Qiang Shi |
spellingShingle |
Talha Qasim Ansari Haitao Huang San-Qiang Shi Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack npj Computational Materials |
author_facet |
Talha Qasim Ansari Haitao Huang San-Qiang Shi |
author_sort |
Talha Qasim Ansari |
title |
Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack |
title_short |
Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack |
title_full |
Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack |
title_fullStr |
Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack |
title_full_unstemmed |
Phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack |
title_sort |
phase field modeling for the morphological and microstructural evolution of metallic materials under environmental attack |
publisher |
Nature Publishing Group |
series |
npj Computational Materials |
issn |
2057-3960 |
publishDate |
2021-09-01 |
description |
Abstract The complex degradation of metallic materials in aggressive environments can result in morphological and microstructural changes. The phase-field (PF) method is an effective computational approach to understanding and predicting the morphology, phase change and/or transformation of materials. PF models are based on conserved and non-conserved field variables that represent each phase as a function of space and time coupled with time-dependent equations that describe the mechanisms. This report summarizes progress in the PF modeling of degradation of metallic materials in aqueous corrosion, hydrogen-assisted cracking, high-temperature metal oxidation in the gas phase and porous structure evolution with insights to future applications. |
url |
https://doi.org/10.1038/s41524-021-00612-7 |
work_keys_str_mv |
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1717755834312687616 |