Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy

Understanding the ionic channel network of proton exchange membranes that dictate fuel cell performance is crucial when developing proton exchange membrane fuel cells. However, it is difficult to characterize this network because of the complicated nanostructure and structure changes that depend on...

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Main Authors: Byungrak Son, JaeHyoung Park, Osung Kwon
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Polymers
Subjects:
Online Access:https://www.mdpi.com/2073-4360/13/8/1258
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spelling doaj-b47105eb05b749d6875273db2fb1b6ee2021-04-13T23:03:30ZengMDPI AGPolymers2073-43602021-04-01131258125810.3390/polym13081258Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force MicroscopyByungrak Son0JaeHyoung Park1Osung Kwon2Division of Energy Technology, DGIST, Daegu 42988, KoreaCorporate Research Center, HygenPower Co., Ltd., Daegu 42988, KoreaTabula Rasa College, Keimyung University, Daegu 42601, KoreaUnderstanding the ionic channel network of proton exchange membranes that dictate fuel cell performance is crucial when developing proton exchange membrane fuel cells. However, it is difficult to characterize this network because of the complicated nanostructure and structure changes that depend on water uptake. Electrostatic force microscopy (EFM) can map surface charge distribution with nano-spatial resolution by measuring the electrostatic force between a vibrating conductive tip and a charged surface under an applied voltage. Herein, the ionic channel network of a proton exchange membrane is analyzed using EFM. A mathematical approximation model of the ionic channel network is derived from the principle of EFM. This model focusses on free charge movement on the membrane based on the force gradient variation between the tip and the membrane surface. To verify the numerical approximation model, the phase lag of dry and wet Nafion is measured with stepwise changes to the bias voltage. Based on the model, the 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 related to the ionic channel network, is calculated using the model. The difference between the mean surface charge of the dry and wet membranes is consistent with the variation in their proton conductivity.https://www.mdpi.com/2073-4360/13/8/1258electrostatic force microscopyproton exchange membranenumerical approximation modellocal dielectric constantionic domainsurface charge density
collection DOAJ
language English
format Article
sources DOAJ
author Byungrak Son
JaeHyoung Park
Osung Kwon
spellingShingle Byungrak Son
JaeHyoung Park
Osung Kwon
Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy
Polymers
electrostatic force microscopy
proton exchange membrane
numerical approximation model
local dielectric constant
ionic domain
surface charge density
author_facet Byungrak Son
JaeHyoung Park
Osung Kwon
author_sort Byungrak Son
title Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy
title_short Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy
title_full Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy
title_fullStr Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy
title_full_unstemmed Analysis of Ionic Domains on a Proton Exchange Membrane Using a Numerical Approximation Model Based on Electrostatic Force Microscopy
title_sort analysis of ionic domains on a proton exchange membrane using a numerical approximation model based on electrostatic force microscopy
publisher MDPI AG
series Polymers
issn 2073-4360
publishDate 2021-04-01
description Understanding the ionic channel network of proton exchange membranes that dictate fuel cell performance is crucial when developing proton exchange membrane fuel cells. However, it is difficult to characterize this network because of the complicated nanostructure and structure changes that depend on water uptake. Electrostatic force microscopy (EFM) can map surface charge distribution with nano-spatial resolution by measuring the electrostatic force between a vibrating conductive tip and a charged surface under an applied voltage. Herein, the ionic channel network of a proton exchange membrane is analyzed using EFM. A mathematical approximation model of the ionic channel network is derived from the principle of EFM. This model focusses on free charge movement on the membrane based on the force gradient variation between the tip and the membrane surface. To verify the numerical approximation model, the phase lag of dry and wet Nafion is measured with stepwise changes to the bias voltage. Based on the model, the 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 related to the ionic channel network, is calculated using the model. The difference between the mean surface charge of the dry and wet membranes is consistent with the variation in their proton conductivity.
topic electrostatic force microscopy
proton exchange membrane
numerical approximation model
local dielectric constant
ionic domain
surface charge density
url https://www.mdpi.com/2073-4360/13/8/1258
work_keys_str_mv AT byungrakson analysisofionicdomainsonaprotonexchangemembraneusinganumericalapproximationmodelbasedonelectrostaticforcemicroscopy
AT jaehyoungpark analysisofionicdomainsonaprotonexchangemembraneusinganumericalapproximationmodelbasedonelectrostaticforcemicroscopy
AT osungkwon analysisofionicdomainsonaprotonexchangemembraneusinganumericalapproximationmodelbasedonelectrostaticforcemicroscopy
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