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A Generalized Knudsen Theory for Gas Through Nanocapillaries Transport

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1 Department of Modern Mechanics, University of Science and Technology of China, Hefei, 230027, China

* Corresponding Author: Fengchao Wang. Email: email

The International Conference on Computational & Experimental Engineering and Sciences 2024, 32(1), 1-1. https://doi.org/10.32604/icces.2024.011068

Abstract

Gas permeation through nanopores is a long-standing research interest because of its importance in fundamental science and many technologies. The free molecular flow is conventionally described by Knudsen theory, under the diffuse reflection assumption. Recent experiments reported ballistic molecular transport of gases, which urges for the development of theoretical tools to address the predominant specular reflections on atomically smooth surfaces. Here we develop a generalized Knudsen theory, which is applicable to various boundary conditions covering from the extreme specular reflection to the complete diffuse reflection [1]. Our model overcomes the limitation of Smoluchowski model, which predicts the gas flow rate diverging to infinity for specular reflection. It emphasizes that the specular reflection can reduce the dissipation flow rate. Our model is validated using molecular dynamics simulations in various scenarios. The proposed model provides insights into the gas transport under confinement and extends Knudsen theory to free molecular flow with specular reflections.

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APA Style
Wang, F. (2024). A generalized knudsen theory for gas through nanocapillaries transport. The International Conference on Computational & Experimental Engineering and Sciences, 32(1), 1-1. https://doi.org/10.32604/icces.2024.011068
Vancouver Style
Wang F. A generalized knudsen theory for gas through nanocapillaries transport. Int Conf Comput Exp Eng Sciences . 2024;32(1):1-1 https://doi.org/10.32604/icces.2024.011068
IEEE Style
F. Wang, “A Generalized Knudsen Theory for Gas Through Nanocapillaries Transport,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 32, no. 1, pp. 1-1, 2024. https://doi.org/10.32604/icces.2024.011068



cc Copyright © 2024 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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