Solving the inverse Knudsen problem

Gas diffusion in random fibrous media

Journal Article (2021)
Author(s)

Wojciech Szmyt (University of Basel, Paul Scherrer Institut, University of Applied Sciences and Arts Northwestern Switzerland)

C.R. Guerra Nunez (TU Delft - ChemE/Product and Process Engineering, Swiss Federal Laboratories for Materials Science and Technology (Empa))

C Dransfeld (TU Delft - Aerospace Manufacturing Technologies)

Ivo Utke (Swiss Federal Laboratories for Materials Science and Technology (Empa))

Research Group
Aerospace Manufacturing Technologies
Copyright
© 2021 Wojciech Szmyt, C.R. Guerra Nunez, C.A. Dransfeld, Ivo Utke
DOI related publication
https://doi.org/10.1016/j.memsci.2020.118728
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Wojciech Szmyt, C.R. Guerra Nunez, C.A. Dransfeld, Ivo Utke
Research Group
Aerospace Manufacturing Technologies
Volume number
620
Reuse Rights

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Abstract

About a century ago, Knudsen derived the groundbreaking theory of gas diffusion through straight pipes and holes, which since then found widespread application in innumerable fields of science and inspired the development of vacuum and related coating technologies, from academic research to numerous industrial sectors. Knudsen's theory can be straightforwardly applied to filter membranes with arrays of extended holes for example, however, for the inverse geometry arrangement, which arises when solid nanowires or fibers are arranged into porous interwoven material (like in carpets or brushes) the derivation of an analytical theory framework was still missing. In this paper, we have identified the specific geometric and thermodynamic parameters that determine the gas diffusion kinetics in arrays of randomly oriented cylinders and provide a set of analytical expressions allowing to comprehensively describe the gas transport in such structures. We confirmed analytical solutions by Monte Carlo simulations. We specify our findings for an atomic layer deposition process, the diffusion of trimethyaluminium molecules into a carbon nanotube array, but highlight the applicability of our derivation for other fields comprising gas diffusion membranes, composite materials, fuel cells and more.