Numerical Simulation of Complex Microelectrode Geometrics
Numerical Simulation of Complex Microelectrode Geometrics
The Boundary Element Method (BEM), a numerical method developed in engineering fields, is capable of modelling complex geometrical domains. In this thesis, the BEM is described from an electrochemical perspective and applied to simulation of electrochemical systems.
The properties of the BEM for electrochemical simulation are compared to the most common numerical methods used in electrochemistry and engineering fields; the Finite Difference Method, and the Finite Element Method respectively. The mathematical relation of these three methods is highlighted through a Weighted Residual formulation.
Steady state diffusion at a generator-collector double microband for a diffusion limited reaction is used to validate a two-dimensional BEM model, and investigate mesh discretisation effects. Optimisation of the mesh and implementation of higher order boundary elements are reported.
The two-dimensional steady state model is applied to simulate a variety of microband systems, including Inter-Digitated Arrays, realistic (imperfect) electrode geometries and a novel generator-collector microband array.
An advanced variation of the BEM, the Dual Reciprocity Method (DRM), is described and applied to model a channel flow cell. Due to instability, the method is found inadequate to simulate this system. The details required to extend the DRM for transient systems are also described.
The three-dimensional BEM is implemented and validated. The ability to model any three-dimensional domain has significant potential for simulation of complex geometrical systems in electrochemistry. The extension of the BEM to model multiple species and electrochemical mechanisms, and the future direction and relevance of the BEM as an electrochemical simulation method, are discussed.
University of Southampton
Angus, John Neil
15ca3e82-4101-4348-bfe7-3179b301bdb2
2002
Angus, John Neil
15ca3e82-4101-4348-bfe7-3179b301bdb2
Denuault, Guy
5c76e69f-e04e-4be5-83c5-e729887ffd4e
Angus, John Neil
(2002)
Numerical Simulation of Complex Microelectrode Geometrics.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
The Boundary Element Method (BEM), a numerical method developed in engineering fields, is capable of modelling complex geometrical domains. In this thesis, the BEM is described from an electrochemical perspective and applied to simulation of electrochemical systems.
The properties of the BEM for electrochemical simulation are compared to the most common numerical methods used in electrochemistry and engineering fields; the Finite Difference Method, and the Finite Element Method respectively. The mathematical relation of these three methods is highlighted through a Weighted Residual formulation.
Steady state diffusion at a generator-collector double microband for a diffusion limited reaction is used to validate a two-dimensional BEM model, and investigate mesh discretisation effects. Optimisation of the mesh and implementation of higher order boundary elements are reported.
The two-dimensional steady state model is applied to simulate a variety of microband systems, including Inter-Digitated Arrays, realistic (imperfect) electrode geometries and a novel generator-collector microband array.
An advanced variation of the BEM, the Dual Reciprocity Method (DRM), is described and applied to model a channel flow cell. Due to instability, the method is found inadequate to simulate this system. The details required to extend the DRM for transient systems are also described.
The three-dimensional BEM is implemented and validated. The ability to model any three-dimensional domain has significant potential for simulation of complex geometrical systems in electrochemistry. The extension of the BEM to model multiple species and electrochemical mechanisms, and the future direction and relevance of the BEM as an electrochemical simulation method, are discussed.
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Published date: 2002
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Local EPrints ID: 464646
URI: http://eprints.soton.ac.uk/id/eprint/464646
PURE UUID: a15e6ec4-8457-451b-9791-353513188f20
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Date deposited: 04 Jul 2022 23:53
Last modified: 26 Oct 2024 01:33
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Author:
John Neil Angus
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