Application of a thermal circuit model for the prediction of interfacial thermal resistance between water and a nanostructure surface using molecular dynamics simulations

Jiang, Zhiwen; Shibahara, Masahiko

International Journal of Thermal Sciences, 2025, 208, 109441

アクセス数:290件（2025-08-14 17:50 集計）

固定URL: https://hdl.handle.net/11094/98473

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論文情報

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タイトル
Application of a thermal circuit model for the prediction of interfacial thermal resistance between water and a nanostructure surface using molecular dynamics simulations
著者
著者名
Jiang, Zhiwen
NRID
1000040294045 1000040294045
ORCID
0000-0002-9846-3569 0000-0002-9846-3569
researchmap permalink
read0051684 read0051684
Scopus Author ID
7005167142 7005167142
著者名
Shibahara, Masahiko
キーワード等
Interfacial thermal resistances
Non-equilibrium molecular dynamics simulation
Solid-liquid interface
Thermal circuit models
内容
Jiang Z., Shibahara M. Application of a thermal circuit model for the prediction of interfacial thermal resistance between water and a nanostructure surface using molecular dynamics simulations. International Journal of Thermal Sciences 208, 109441 (2025); https://doi.org/10.1016/j.ijthermalsci.2024.109441.
抄録
The present study proposes various thermal circuit models (TCMs) to predict interfacial thermal resistances (ITRs) between water and a nanostructure surface. The effects of water models, nanopillar widths on nanostructure surfaces, and composite surfaces on the relationship between ITRs calculated by non-equilibrium molecular dynamics simulations and ITRs predicted by TCMs are investigated in water-copper and water-graphene-copper systems. The results reveal that the ITRs predicted by some TCMs are slightly affected by water pressure, while MD-calculated ITRs of the nanostructure surfaces in the Wenzel states agree with most of the predicted ITRs. Additionally, it is demonstrated that water molecules in the groove of a nanostructure surface play a crucial role in TCMs in the Cassie-Baxter states. Considering the effective contact region of water molecules in the groove in the Cassie-Baxter states, the use of TCMs can effectively reduce the prediction error of ITRs.
出版者
Elsevier Masson SAS
収録物名
International Journal of Thermal Sciences
巻(号)
208
ページ
109441
刊行年月
2025-02-01
言語
英語
ハンドルURL
https://hdl.handle.net/11094/98473
PISSN
12900729
関連情報 (isVersionOf)
DOI (出版社版)
https://doi.org/10.1016/j.ijthermalsci.2024.109441
アクセス権
embargoed access
権利情報
© 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
The full-text file will be made open to the public on 1 February 2027 in accordance with the publisher's policy.
出版タイプ
Accepted Manuscript
カテゴリ
学術雑誌論文 Journal Article