Stochastic Reconstruction of Mixed-Matrix Membranes and Evaluation of Effective Permeability

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388955%3A_____%2F14%3A00428090" target="_blank" >RIV/61388955:_____/14:00428090 - isvavai.cz</a>
Alternative codes found
RIV/67985858:_____/14:00428090 RIV/60461373:22310/14:43897138
Result on the web
<a href="http://dx.doi.org/10.1016/j.commatsci.2014.03.003" target="_blank" >http://dx.doi.org/10.1016/j.commatsci.2014.03.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.commatsci.2014.03.003" target="_blank" >10.1016/j.commatsci.2014.03.003</a>

Result language
angličtina
Original language name
Stochastic Reconstruction of Mixed-Matrix Membranes and Evaluation of Effective Permeability
Original language description
Microstructures of three mixed-matrix membrane samples made of polyimide and silicalite-1 particles were reconstructed using a stochastic reconstruction procedure. The reconstruction revealed the existence of percolation clusters of silicalite-1 particles in the two samples with the volume fraction of silicalite-1 greater than 0.3. In contrast, only the reconstructed microstructure of the first sample contained small clusters of silicalite-1 particles, which did not percolate along any direction. The results of this reconstruction were tested by simulating the random walk of CO2 molecules in the reconstructed bodies and by predicting the effective permeability of CO2. Both original and reconstructed membranes revealed a similar enhanced effective permeability, which exceeded predictions based on the effective medium approximations. Therefore, we suggest that clustering of the silicalite-1 particles was the primary cause of the permeability increase.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
CF - Physical chemistry and theoretical chemistry
OECD FORD branch
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Project
<a href="/en/project/GAP204%2F11%2F1206" target="_blank" >GAP204/11/1206: Use of PFG NMR, stochastic reconstruction and molecular simulation to estimate transport-related texture characteristics of advanced porous materials</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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