Advances in Modeling Sorption and Diffusion of Moisture in Porous Reactive Materials
Water‐vapor‐uptake experiments were performed on a silica‐filled poly(dimethylsiloxane) (PDMS) network and modeled by using two different approaches. The data was modeled by using established methods and the model parameters were used to predict moisture uptake in a sample. The predictions are reaso...
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Published in: | Chemphyschem Vol. 15; no. 9; pp. 1809 - 1820 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Weinheim
WILEY-VCH Verlag
23-06-2014
WILEY‐VCH Verlag Wiley Wiley Subscription Services, Inc |
Subjects: | |
Online Access: | Get full text |
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Summary: | Water‐vapor‐uptake experiments were performed on a silica‐filled poly(dimethylsiloxane) (PDMS) network and modeled by using two different approaches. The data was modeled by using established methods and the model parameters were used to predict moisture uptake in a sample. The predictions are reasonably good, but not outstanding; many of the shortcomings of the modeling are discussed. A high‐fidelity modeling approach is derived and used to improve the modeling of moisture uptake and diffusion. Our modeling approach captures the physics and kinetics of diffusion and adsorption/desorption, simultaneously. It predicts uptake better than the established method; more importantly, it is also able to predict outgassing. The material used for these studies is a filled‐PDMS network; physical interpretations concerning the sorption and diffusion of moisture in this network are discussed.
Suck it up! Moisture‐vapor‐uptake experiments were performed on a silica‐filled poly(dimethylsiloxane) network and modeled by using two different approaches (see figure). The data was modeled by using established methods and the model parameters were used to predict moisture uptake in a sample. A high‐fidelity modeling approach is derived here and used to improve the modeling of moisture uptake and diffusion. |
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Bibliography: | ArticleID:CPHC201301097 ark:/67375/WNG-80HR6VJ5-1 DE-AC52-07NA27344 - No. LLNL-JRNL-641873 istex:220B4415CD3434A37DEBDD4D9F5AEB7E276222E5 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1439-4235 1439-7641 |
DOI: | 10.1002/cphc.201301097 |