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Electrochemical porosimetry: Deconvolution of distribution functions

Cited 6 time in Web of Science Cited 7 time in Scopus
Authors
Song, Hyun-Kon; Jang, Jong H.; Kim, Jae Jeong; Oh, Seung M.
Issue Date
2006-06-30
Publisher
Elsevier
Citation
Electrochem. Commun. 8 (2006) 1191
Keywords
DeconvolutionFourier transformImpedanceDistribution functionLow-pass filtering
Abstract
Discrete Fourier transform (DFT) was used to deconvolute the distribution of penetrability coefficient (αo-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 αo-distribution. Simulated and experimental impedance data were tested. Noise observed at high frequencies in Fourier space was removed before inversely Fourier-transforming the αo-distribution from Fourier space to real space. The accuracy of αo-distributions deconvoluted by DFT depended on the number, frequency range and quality of impedance data. The examples in this work showed that fairly accurate αo-distributions could be obtained by DFT deconvolution. Most promising method was to use the αo-distribution obtained from DFT deconvolution as the first guess to shape the true αo-distribution. Then, accurate αo-distributions could be obtained by estimating parameters of the pre-assumed distributions by using complex nonlinear least square fitting.
ISSN
1388-2481
Language
English
URI
http://hdl.handle.net/10371/5818
DOI
https://doi.org/10.1016/j.elecom.2006.05.012
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Chemical and Biological Engineering (화학생물공학부)Journal Papers (저널논문_화학생물공학부)
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