Ion transport modeling of realistic thin-layer cell configurations
We present computer simulations of ion transport in electrochemical deposition (ECD) in thin-layer cells for highly diluted solutions and realistic cell geometry configurations, under gravitoconvection prevailing regimes. The computational model solves the Nernst-Planck equations for ion transport,...
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Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS01900_v8_n_p388_Marshall http://hdl.handle.net/20.500.12110/paper_NIS01900_v8_n_p388_Marshall |
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paper:paper_NIS01900_v8_n_p388_Marshall2023-06-08T16:39:28Z Ion transport modeling of realistic thin-layer cell configurations Dengra, Silvina Molina, Fernando Victor Gonzalez, Graciela Alicia Charge transfer Computer simulation Decomposition Electric potential Ions Solutions Cell configurations Electrostatic potential Geometry distortion Ion transport Electrodeposition We present computer simulations of ion transport in electrochemical deposition (ECD) in thin-layer cells for highly diluted solutions and realistic cell geometry configurations, under gravitoconvection prevailing regimes. The computational model solves the Nernst-Planck equations for ion transport, the Poisson equation for the electrostatic potential and the Navier-Stokes equations for the fluid motion in a lattice with a length to width ratio of more than one order of magnitude. The equations are written in terms of a set of dimensionless numbers among which stands the Gravity Grashofnumberdescribing gravitoconvectionprevailing regimes. Due to the extreme disparity of the physical scales and geometry distortion of the electrochemical process, we introduced in the computational model ado main decomposition technique with a strongly implicit iterative method and its implementation on a parallel machine consisting in a cluster of PC's under MPI and Linux. This allows the utilization of very fine grids in highly distorted domains with more realistic Gravity Grash of numbers, and results in a robust algorithm for highly diluted solutions close to those found in experiments. The computer simulations predict full front interaction, vortex generation and merging and a space-time fronts evolution with a correct time scaling. Fil:Dengra, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Molina, F.V. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Gonzalez, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2001 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS01900_v8_n_p388_Marshall http://hdl.handle.net/20.500.12110/paper_NIS01900_v8_n_p388_Marshall |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
Charge transfer Computer simulation Decomposition Electric potential Ions Solutions Cell configurations Electrostatic potential Geometry distortion Ion transport Electrodeposition |
spellingShingle |
Charge transfer Computer simulation Decomposition Electric potential Ions Solutions Cell configurations Electrostatic potential Geometry distortion Ion transport Electrodeposition Dengra, Silvina Molina, Fernando Victor Gonzalez, Graciela Alicia Ion transport modeling of realistic thin-layer cell configurations |
topic_facet |
Charge transfer Computer simulation Decomposition Electric potential Ions Solutions Cell configurations Electrostatic potential Geometry distortion Ion transport Electrodeposition |
description |
We present computer simulations of ion transport in electrochemical deposition (ECD) in thin-layer cells for highly diluted solutions and realistic cell geometry configurations, under gravitoconvection prevailing regimes. The computational model solves the Nernst-Planck equations for ion transport, the Poisson equation for the electrostatic potential and the Navier-Stokes equations for the fluid motion in a lattice with a length to width ratio of more than one order of magnitude. The equations are written in terms of a set of dimensionless numbers among which stands the Gravity Grashofnumberdescribing gravitoconvectionprevailing regimes. Due to the extreme disparity of the physical scales and geometry distortion of the electrochemical process, we introduced in the computational model ado main decomposition technique with a strongly implicit iterative method and its implementation on a parallel machine consisting in a cluster of PC's under MPI and Linux. This allows the utilization of very fine grids in highly distorted domains with more realistic Gravity Grash of numbers, and results in a robust algorithm for highly diluted solutions close to those found in experiments. The computer simulations predict full front interaction, vortex generation and merging and a space-time fronts evolution with a correct time scaling. |
author |
Dengra, Silvina Molina, Fernando Victor Gonzalez, Graciela Alicia |
author_facet |
Dengra, Silvina Molina, Fernando Victor Gonzalez, Graciela Alicia |
author_sort |
Dengra, Silvina |
title |
Ion transport modeling of realistic thin-layer cell configurations |
title_short |
Ion transport modeling of realistic thin-layer cell configurations |
title_full |
Ion transport modeling of realistic thin-layer cell configurations |
title_fullStr |
Ion transport modeling of realistic thin-layer cell configurations |
title_full_unstemmed |
Ion transport modeling of realistic thin-layer cell configurations |
title_sort |
ion transport modeling of realistic thin-layer cell configurations |
publishDate |
2001 |
url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS01900_v8_n_p388_Marshall http://hdl.handle.net/20.500.12110/paper_NIS01900_v8_n_p388_Marshall |
work_keys_str_mv |
AT dengrasilvina iontransportmodelingofrealisticthinlayercellconfigurations AT molinafernandovictor iontransportmodelingofrealisticthinlayercellconfigurations AT gonzalezgracielaalicia iontransportmodelingofrealisticthinlayercellconfigurations |
_version_ |
1769175817568387072 |