| アイテムタイプ |
itemtype_ver1(1) |
| 公開日 |
2024-12-12 |
| タイトル |
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タイトル |
Atomistic modeling of nucleation kinetics of Guinier–Preston zones in Al–Cu alloys: Two formation scenarios and prediction of the time-temperature-transformation diagram |
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言語 |
en |
| 著者 |
Liao, Heting
Kimizuka, Hajime
Miyoshi, Hiroshi
Ogata, Shigenobu
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| アクセス権 |
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アクセス権 |
embargoed access |
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アクセス権URI |
http://purl.org/coar/access_right/c_f1cf |
| 権利 |
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権利情報 |
© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ |
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言語 |
en |
| 内容記述 |
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内容記述タイプ |
Abstract |
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内容記述 |
Metastable precipitates of solute atoms, known as Guinier–Preston (GP) zones, play a significant role in the age hardening of Al–Cu alloys. In this study, we utilized the classical nucleation theory (CNT) to obtain time-temperature-transformation (TTT) diagrams for steady-state nucleation over a wide temperature range. The CNT model, which is based on atomistic simulations using artificial neural network potentials, was constructed to predict the nucleation kinetics of GP zones in the Al–Cu system with solute concentrations ranging from 1.3 to 2.5 at% (3.0 to 5.7 wt%). The nose temperature at which the steady-state nucleation time for GP zone formation is the shortest was calculated. The nose temperature increased and the minimum nucleation time decreased as the solute concentration increased. These predictions are comparable to previous theoretical results and are in good qualitative agreement with experimental observations. Furthermore, two formation scenarios of double-layer GP (GP2) zones, considering synchronous and asynchronous attachments of solute atoms to clusters, were compared in terms of nucleation efficiency. This provides new insights into the nucleation pathways of the GP2 zone in Al–Cu alloys. |
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言語 |
en |
| 出版者 |
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出版者 |
Elsevier |
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言語 |
en |
| 言語 |
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言語 |
eng |
| 資源タイプ |
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資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
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タイプ |
journal article |
| 出版タイプ |
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出版タイプ |
AM |
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出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
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関連タイプ |
isVersionOf |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.1016/j.commatsci.2024.113069 |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
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収録物識別子 |
09270256 |
| 書誌情報 |
en : Computational Materials Science
巻 242,
p. 113069,
発行日 2024-06
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| ファイル公開日 |
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日付 |
2026-06-01 |
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日付タイプ |
Available |
CMS24_Liao.pdf (906 KB)
