S-Space College of Engineering/Engineering Practice School (공과대학/대학원) Dept. of Chemical and Biological Engineering (화학생물공학부) Journal Papers (저널논문_화학생물공학부)
Electrochemical porosimetry: Deconvolution of distribution functions
|dc.contributor.author||Jang, Jong H||-|
|dc.contributor.author||Kim, Jae Jeong||-|
|dc.contributor.author||Oh, Seung M||-|
|dc.identifier.citation||Electrochemistry Communications, 8 (2006) 1191–1196||en|
|dc.description.abstract||Discrete Fourier transform (DFT) was used to deconvolute the distribution of penetrability coefficient (ao-distribution, equivalent to
pore size distribution) from electrochemical impedance data of porous electrodes. The working equation is the Fredholm integral equation
of the first kind to correlate macroscopic impedance data to a theoretical model describing microscopic signal with the ao-distribution.
Simulated and experimental impedance data were tested. Noise observed at high frequencies in Fourier space was removed before
inversely Fourier-transforming the ao-distribution from Fourier space to real space. The accuracy of ao-distributions deconvoluted by
DFT depended on the number, frequency range and quality of impedance data. The examples in this work showed that fairly accurate
ao-distributions could be obtained by DFT deconvolution. Most promising method was to use the ao-distribution obtained from DFT
deconvolution as the first guess to shape the true ao-distribution. Then, accurate ao-distributions could be obtained by estimating parameters
of the pre-assumed distributions by using complex nonlinear least square fitting.
|dc.description.sponsorship||This work was supported by KOSEF via the Research
Center for Energy Conversion and Storage.
|dc.title||Electrochemical porosimetry: Deconvolution of distribution functions||en|
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