Numerical simulation of diffusion controlled reactions
Numerical simulation of diffusion controlled reactions
The amperometric response of electrodes generally cannot be predicted without taking into account mass transport effects. These are described by partial differential equations that often require numerical solution. In this thesis the adaptive finite element method is examined as a means to this end.
Adaptive finite element, while long used in engineering fields, has not so far been significant in electrochemical simulation. Most simulations have been effected with obsolescent finite difference or non-adaptive finite element, with a priori mesh densities. Neither of these has the advantage of error control that the algorithm presented here has, nor do they allow the same geometric flexibility. An efficient, and in many ways novel, implementation of adaptive finite element is described, which allows a user-defined error bound to be met using an optimised machine-generated mesh. Rather than utilising generic error measures, the mesh is optimised specifically for accuracy in the current using a new error estimation strategy. This yields a widely applicable steady state simulation program whose flexibility is demonstrated with a variety of realistic problems.
University of Southampton
Abercrombie, Stuart Christopher Benedict
7e6ec6ce-efca-4ce5-b34f-d86a3007d80b
2003
Abercrombie, Stuart Christopher Benedict
7e6ec6ce-efca-4ce5-b34f-d86a3007d80b
Abercrombie, Stuart Christopher Benedict
(2003)
Numerical simulation of diffusion controlled reactions.
University of Southampton, Doctoral Thesis.
Record type:
Thesis
(Doctoral)
Abstract
The amperometric response of electrodes generally cannot be predicted without taking into account mass transport effects. These are described by partial differential equations that often require numerical solution. In this thesis the adaptive finite element method is examined as a means to this end.
Adaptive finite element, while long used in engineering fields, has not so far been significant in electrochemical simulation. Most simulations have been effected with obsolescent finite difference or non-adaptive finite element, with a priori mesh densities. Neither of these has the advantage of error control that the algorithm presented here has, nor do they allow the same geometric flexibility. An efficient, and in many ways novel, implementation of adaptive finite element is described, which allows a user-defined error bound to be met using an optimised machine-generated mesh. Rather than utilising generic error measures, the mesh is optimised specifically for accuracy in the current using a new error estimation strategy. This yields a widely applicable steady state simulation program whose flexibility is demonstrated with a variety of realistic problems.
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Published date: 2003
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Local EPrints ID: 465295
URI: http://eprints.soton.ac.uk/id/eprint/465295
PURE UUID: 033daa43-df5e-485c-925e-3b54738bd907
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Date deposited: 05 Jul 2022 00:35
Last modified: 16 Mar 2024 20:05
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Author:
Stuart Christopher Benedict Abercrombie
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