Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation
Understanding water vapor condensation behavior at molecular level provides critical insights and useful guidance towards applications such as atmospheric water harvesting. In this work, condensation behavior of water vapor with a range of concentrations is investigated by molecular dynamics simulat...
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sg-ntu-dr.10356-1805222024-10-11T15:46:29Z Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation Wei, Lan Wang, Pengyu Chen, Xingyu Chen, Zhong School of Materials Science and Engineering Engineering Atmospheric water harvesting Dew condensation Understanding water vapor condensation behavior at molecular level provides critical insights and useful guidance towards applications such as atmospheric water harvesting. In this work, condensation behavior of water vapor with a range of concentrations is investigated by molecular dynamics simulation on surfaces with different wetting states, viz. hydrophilic, hydrophobic, superhydrophilic, and superhydrophobic under five levels of water vapor content. The effect of water vapor content on condensation morphology, condensation beginning time, number of water molecules condensed over time, and accumulation rate are quantitatively examined. The results demonstrate that water condensation mass increases linearly with time on hydrophilic and superhydrophilic surfaces, while displaying a two-stage behavior on hydrophobic and superhydrophobic surfaces. The increase at the first stage is slower than the second stage. Higher water vapor content enables earlier nucleation and shortens the duration of the slow increase stage for hydrophobic and superhydrophobic surfaces. Quantitatively, water condensation mass increases linearly with the relative humidity of the vapor, and the coefficient with relative humidity on the hydrophilic, hydrophobic, superhydrophilic and superhydrophobic surfaces is 25.74 × 10–19, 8.31 × 10–19, 27.63 × 10–19, and 1.34 × 10–19, respectively. Our results show that increasing water vapor content has more significant impact on hydrophilic and superhydrophilic surfaces than hydrophobic and superhydrophobic surfaces. In addition, increasing water vapor content has minor effect on condensation rate in the slow increase stage on hydrophobic and superhydrophobic surfaces, but significantly increase the condensation rate on the rapid increase stage. Ministry of Education (MOE) Submitted/Accepted version This research is supported by Ministry of Education, Singapore (RG8/21, RG7/24). 2024-10-10T02:06:37Z 2024-10-10T02:06:37Z 2024 Journal Article Wei, L., Wang, P., Chen, X. & Chen, Z. (2024). Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation. Surfaces and Interfaces, 52, 104981-. https://dx.doi.org/10.1016/j.surfin.2024.104981 2468-0230 https://hdl.handle.net/10356/180522 10.1016/j.surfin.2024.104981 2-s2.0-85201901682 52 104981 en RG8/21 RG7/24 Surfaces and Interfaces © 2024 Elsevier B.V. All rights reserved. This article may be downloaded for personal use only. Any other use requires prior permission of the copyright holder. The Version of Record is available online at http://doi.org/10.1016/j.surfin.2024.104981. application/pdf |
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Engineering Atmospheric water harvesting Dew condensation Wei, Lan Wang, Pengyu Chen, Xingyu Chen, Zhong Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
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Understanding water vapor condensation behavior at molecular level provides critical insights and useful guidance towards applications such as atmospheric water harvesting. In this work, condensation behavior of water vapor with a range of concentrations is investigated by molecular dynamics simulation on surfaces with different wetting states, viz. hydrophilic, hydrophobic, superhydrophilic, and superhydrophobic under five levels of water vapor content. The effect of water vapor content on condensation morphology, condensation beginning time, number of water molecules condensed over time, and accumulation rate are quantitatively examined. The results demonstrate that water condensation mass increases linearly with time on hydrophilic and superhydrophilic surfaces, while displaying a two-stage behavior on hydrophobic and superhydrophobic surfaces. The increase at the first stage is slower than the second stage. Higher water vapor content enables earlier nucleation and shortens the duration of the slow increase stage for hydrophobic and superhydrophobic surfaces. Quantitatively, water condensation mass increases linearly with the relative humidity of the vapor, and the coefficient with relative humidity on the hydrophilic, hydrophobic, superhydrophilic and superhydrophobic surfaces is 25.74 × 10–19, 8.31 × 10–19, 27.63 × 10–19, and 1.34 × 10–19, respectively. Our results show that increasing water vapor content has more significant impact on hydrophilic and superhydrophilic surfaces than hydrophobic and superhydrophobic surfaces. In addition, increasing water vapor content has minor effect on condensation rate in the slow increase stage on hydrophobic and superhydrophobic surfaces, but significantly increase the condensation rate on the rapid increase stage. |
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School of Materials Science and Engineering |
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School of Materials Science and Engineering Wei, Lan Wang, Pengyu Chen, Xingyu Chen, Zhong |
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Article |
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Wei, Lan Wang, Pengyu Chen, Xingyu Chen, Zhong |
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Wei, Lan |
title |
Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
title_short |
Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
title_full |
Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
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Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
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Water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
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water vapor condensation behavior on different wetting surfaces via molecular dynamics simulation |
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2024 |
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https://hdl.handle.net/10356/180522 |
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