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Layer-by-layer Synthesis and Transfer of Freestanding Conjugated Microporous Polymer Nanomembranes

Layer-by-layer Synthesis and Transfer of Freestanding Conjugated Microporous Polymer Nanomembranes

Published on: December 15, 2015

Random pore-network model for polymer electrolyte membranes.

Peter Berg¹, Philippe Nadon

¹Theoretical Physics Institute, University of Alberta, Edmonton, AB T6G 2R3, Canada. pberg@ualberta.ca.

|May 26, 2021

Summary

A new pore-network model simulates proton and water flow in polymer electrolyte membranes (PEM), linking membrane swelling to transport properties. Results align with experimental data, highlighting the need for accurate nanopore diffusion descriptions.

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Area of Science:

Materials Science
Electrochemistry
Chemical Engineering

Background:

Polymer electrolyte membranes (PEMs) are crucial for electrochemical devices.
Accurate modeling of transport phenomena within PEMs is essential for performance optimization.
Understanding the interplay between fluid flow, swelling, and ion transport is key.

Purpose of the Study:

To develop a random pore-network model for PEMs.
To couple proton and water flow with membrane swelling.
To compute macroscopic membrane properties and compare them with experimental data.

Main Methods:

Developed a random pore-network model using cylindrical channels.
Employed closed-form solutions for Poisson-Nernst-Planck-Stokes equations to determine flow.
Utilized pressure balance at channel walls to describe fluid-structure interaction.

Main Results:

Computed macroscopic properties including conductivity, permeability, and electro-osmotic coefficient.
Model results showed favorable agreement with existing experimental data.
Identified the critical importance of accurately describing proton diffusion in nanopores.

Conclusions:

The developed pore-network model provides a valuable tool for PEM analysis.
Model simplifications are acceptable, but nanopore diffusion requires precise representation.
Further refinement of diffusion models in nanoporous structures is recommended.