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NAMS 2002 Workshop - ICOM 2008

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Membrane Modeling II - Gas Separation – 3<br />

Tuesday July 15, 3:30 PM-4:00 PM, O’ahu/Waialua<br />

Development of a Microscopic Free Volume Theory for Molecular Self-<br />

Diffusivity Prediction in Polymeric Systems<br />

H. Ohashi (Speaker), The University of Tokyo, Tokyo, Japan - yamag@res.titech.ac.jp<br />

T. Ito, Tokyo Institute of Technology, Tokyo, Japan<br />

T. Yamaguchi, Tokyo Institute of Technology, Tokyo, Japan<br />

Molecular diffusivity in polymer matrices is an important dynamic physical<br />

property for membrane transports. Prediction of the diffusivity using some<br />

theoretical models is favorable, and thus, several diffusion models for polymeric<br />

systems have been proposed up to now. However, diffusivity prediction model<br />

without adjustable parameter has not been proposed yet because microscopic<br />

phenomena are not taken into account in the previous models.<br />

Microscopically, molecular self-diffusion originates in the common mechanisms<br />

of molecular collisions and random walk motion in polymer systems as well as in<br />

simple liquids. Therefore, we developed a novel model for molecular diffusion in<br />

polymer by incorporating these two notions into the free volume theory. The free<br />

volume theory for polymeric systems contains two unknown parameters, so we<br />

introduced a newly developed concept, “shell-like free volume” around a<br />

molecule, and “random walk movement into neighbor free volume hole” into both<br />

of the unknown parameters. Incorporation of these microscopic concepts<br />

provides a predictive model, which can calculate self-diffusivity of mixing property<br />

using only pure component properties derived from experimental viscoelasticity<br />

and quantum chemical calculation.<br />

Using this model, we can predict self-diffusivity of various molecules in polymer<br />

matrices without using any adjustable parameter. Our model can be applied to<br />

molecules having various shapes and molecular types of gas, solvent, and solute<br />

in several polymeric systems. The predictive ability of our model was found to be<br />

fairly acceptable in every case and thus, the model can be a useful tool for<br />

polymeric membrane designs.

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