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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Autores principales: Marshall, G., Dengra, S., Arias, E., Molina, F.V., Gonzalez, G., Vallieres, M.
Formato: CONF
Materias:
Charge transfer
Computer simulation
Decomposition
Electric potential
Ions
Solutions
Cell configurations
Electrostatic potential
Geometry distortion
Ion transport
Electrodeposition
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_NIS01900_v8_n_p388_Marshall
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
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spelling todo:paper_NIS01900_v8_n_p388_Marshall2023-10-03T16:45:43Z Ion transport modeling of realistic thin-layer cell configurations Marshall, G. Dengra, S. Arias, E. Molina, F.V. Gonzalez, G. Vallieres, M. 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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
Marshall, G.
Dengra, S.
Arias, E.
Molina, F.V.
Gonzalez, G.
Vallieres, M.
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.
format CONF
author Marshall, G.
Dengra, S.
Arias, E.
Molina, F.V.
Gonzalez, G.
Vallieres, M.
author_facet Marshall, G.
Dengra, S.
Arias, E.
Molina, F.V.
Gonzalez, G.
Vallieres, M.
author_sort Marshall, G.
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
url http://hdl.handle.net/20.500.12110/paper_NIS01900_v8_n_p388_Marshall
work_keys_str_mv AT marshallg iontransportmodelingofrealisticthinlayercellconfigurations
AT dengras iontransportmodelingofrealisticthinlayercellconfigurations
AT ariase iontransportmodelingofrealisticthinlayercellconfigurations
AT molinafv iontransportmodelingofrealisticthinlayercellconfigurations
AT gonzalezg iontransportmodelingofrealisticthinlayercellconfigurations
AT vallieresm iontransportmodelingofrealisticthinlayercellconfigurations
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