2020
DOI: 10.1149/1945-7111/ab6282
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Numerical Analysis of CE Processes in RDE Systems: Diffusion and Electro-hydrodynamic Impedances

Abstract: This paper presents a numerical analysis of the effect of different parameters (rotation speed, equilibrium constant and Schmidt numbers) on the diffusion (ZD) and electro-hydrodynamic (ZEHD) impedances of chemical-electrochemical (CE) systems in a rotating disk electrode (RDE) configuration. For this purpose, we used a finite difference algorithm to discretize and solve the governing equations. Our results show that the separation between convection-diffusion and reaction impedance loops depends on the ratio … Show more

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Cited by 3 publications
(2 citation statements)
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“…They first calculated the axial velocity as a function of the Schmidt number, thus allowing the convective-diffusion impedance to be calculated as a function of tabulated parameters. Even though this development was shown to be more accurate than the Nernst approximation layer in both the medium- and low-frequency ranges of the diffusion impedance, , its use remains infrequent.…”
Section: Description Of Electrochemical Impedancementioning
confidence: 99%
“…They first calculated the axial velocity as a function of the Schmidt number, thus allowing the convective-diffusion impedance to be calculated as a function of tabulated parameters. Even though this development was shown to be more accurate than the Nernst approximation layer in both the medium- and low-frequency ranges of the diffusion impedance, , its use remains infrequent.…”
Section: Description Of Electrochemical Impedancementioning
confidence: 99%
“…To the best of our knowledge, there are no similar studies that were done using transient techniques such as EIS or EHD that would provide additional experimental data useful in this verification. The existing studies using EIS and EHD are either pure theoretical models of the CE mechanism, 22 or they are limited to determining transport properties of electrolytes in pure mass transfer controlled systems, such as diffusion coefficient or Schmidt number. 53,54 The few graphs presented below indicate the performance of the model.…”
Section: Co2mentioning
confidence: 99%