dc.contributor.author | Prudhomme, Serge | |
dc.contributor.author | van der Zee, Kris G | |
dc.contributor.author | Carey, Graham F | |
dc.contributor.author | Garg, Vikram V. | |
dc.date.accessioned | 2014-10-21T19:50:20Z | |
dc.date.available | 2014-10-21T19:50:20Z | |
dc.date.issued | 2014-09 | |
dc.date.submitted | 2014-02 | |
dc.identifier.issn | 2213-7467 | |
dc.identifier.uri | http://hdl.handle.net/1721.1/91145 | |
dc.description.abstract | Background:
Models based on the Helmholtz 'slip' approximation are often used for the simulation of electroosmotic flows. The objectives of this paper are to construct adjoint-consistent formulations of such models, and to develop adjoint-based numerical tools for adaptive mesh refinement and parameter sensitivity analysis.
Methods:
We show that the direct formulation of the 'slip' model is adjoint inconsistent, and leads to an ill-posed adjoint problem. We propose a modified formulation of the coupled 'slip' model, which is shown to be well-posed, and therefore automatically adjoint-consistent.
Results:
Numerical examples are presented to illustrate the computation and use of the adjoint solution in two-dimensional microfluidics problems.
Conclusions:
An adjoint-consistent formulation for Helmholtz 'slip' models of electroosmotic flows has been proposed. This formulation provides adjoint solutions that can be reliably used for mesh refinement and sensitivity analysis. | en_US |
dc.description.sponsorship | University of Texas at Austin (University Continuing Fellowship) | en_US |
dc.publisher | Springer | en_US |
dc.relation.isversionof | http://dx.doi.org/10.1186/s40323-014-0015-3 | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0 | en_US |
dc.title | Adjoint-consistent formulations of slip models for coupled electroosmotic flow systems | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Garg, Vikram V et al. “Adjoint-Consistent Formulations of Slip Models for Coupled Electroosmotic Flow Systems.” Advanced Modeling and Simulation in Engineering Sciences 1.1 (2014): 15. | en_US |
dc.contributor.department | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics | en_US |
dc.contributor.mitauthor | Garg, Vikram V. | en_US |
dc.relation.journal | Advanced Modeling and Simulation in Engineering Sciences | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
dc.date.updated | 2014-10-18T03:03:54Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | Vikram V Garg et al.; licensee BioMed Central Ltd. | |
dspace.orderedauthors | Garg, Vikram V; Prudhomme, Serge; van der Zee, Kris G; Carey, Graham F | en_US |
mit.license | OPEN_ACCESS_POLICY | en_US |
mit.metadata.status | Complete | |