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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Bibliographic Details
Published in:Chemphyschem Vol. 15; no. 9; pp. 1809 - 1820
Main Authors: Harley, Stephen J., Glascoe, Elizabeth A., Lewicki, James P., Maxwell, Robert S.
Format: Journal Article
Language:English
Published: Weinheim WILEY-VCH Verlag 23-06-2014
WILEY‐VCH Verlag
Wiley
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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.
Bibliography:ArticleID:CPHC201301097
ark:/67375/WNG-80HR6VJ5-1
DE-AC52-07NA27344 - No. LLNL-JRNL-641873
istex:220B4415CD3434A37DEBDD4D9F5AEB7E276222E5
ObjectType-Article-1
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ISSN:1439-4235
1439-7641
DOI:10.1002/cphc.201301097