Version 1
: Received: 5 February 2021 / Approved: 8 February 2021 / Online: 8 February 2021 (10:42:15 CET)
How to cite:
Son, B.; Park, J.; Kwon, O. Analysis of Ionic Domains on a Proton Exchange Membrane using a Numerical Approximation Model based on Electrostatic Force Microscopy. Preprints2021, 2021020183. https://doi.org/10.20944/preprints202102.0183.v1
Son, B.; Park, J.; Kwon, O. Analysis of Ionic Domains on a Proton Exchange Membrane using a Numerical Approximation Model based on Electrostatic Force Microscopy. Preprints 2021, 2021020183. https://doi.org/10.20944/preprints202102.0183.v1
Son, B.; Park, J.; Kwon, O. Analysis of Ionic Domains on a Proton Exchange Membrane using a Numerical Approximation Model based on Electrostatic Force Microscopy. Preprints2021, 2021020183. https://doi.org/10.20944/preprints202102.0183.v1
APA Style
Son, B., Park, J., & Kwon, O. (2021). Analysis of Ionic Domains on a Proton Exchange Membrane using a Numerical Approximation Model based on Electrostatic Force Microscopy. Preprints. https://doi.org/10.20944/preprints202102.0183.v1
Chicago/Turabian Style
Son, B., JaeHyoung Park and Osung Kwon. 2021 "Analysis of Ionic Domains on a Proton Exchange Membrane using a Numerical Approximation Model based on Electrostatic Force Microscopy" Preprints. https://doi.org/10.20944/preprints202102.0183.v1
Abstract
Understanding the ionic channel network of proton exchange membranes, which dictate fuel cell performance, is crucial when developing proton exchange membrane fuel cells. However, itis difficult to characterize due to complicated nano structure and differing changes to their structure with different amounts of water uptake. Electrostatic force microscopy (EFM) can map surface charge distribution as nano special resolution by measuring the electrostatic force between a vibrating conductive tip and a charged surface under an applied voltage, . In this study, the ionic channel network of a proton exchange membrane is analyzed using EFM. A mathematical approximation model of the ionic channel network is first derived, to explain changes in force gradient on the surface using EFM. The phase lag of dry and wet Nafion under stepwise changes to bias voltage is then measured. Based on the model, variations in the ionic channel network of Nafion with different amounts of water uptake are analyzed numerically. The mean surface charge density of both membranes, which is connected with the ionic channel network, is calculated using the model. The results show that the difference between the mean surface charge of the dry and wet membranes is consistent with the variation in their proton conductivity.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
