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    Adjoint-consistent formulations of slip models for coupled electroosmotic flow systems

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    Type
    Article
    Authors
    Garg, Vikram V
    Prudhomme, Serge
    van der Zee, Kris G
    Carey, Graham F
    Date
    2014-09-27
    Online Publication Date
    2014-09-27
    Print Publication Date
    2014-12
    Permanent link to this record
    http://hdl.handle.net/10754/597467
    
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    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.
    Citation
    Garg VV, Prudhomme S, van der Zee KG, Carey GF (2014) Adjoint-consistent formulations of slip models for coupled electroosmotic flow systems. Advanced Modeling and Simulation in Engineering Sciences 1. Available: http://dx.doi.org/10.1186/s40323-014-0015-3.
    Sponsors
    Vikram Garg is grateful for the support of the Bruton fellowship and the University Continuing fellowship from The University of Texas at Austin. Kris van der Zee is grateful for the support of this work by the 2010 NWO Innovational Research Incentives Scheme (IRIS) Grant 639.031.033. Serge Prudhomme is sponsored by a Discovery Grant from the Natural Sciences and Engineering Research Council of Canada. Serge Prudhomme is also a participant of the KAUST SRI center for Uncertainty Quantification in Computational Science and Engineering.
    Publisher
    Springer Nature
    Journal
    Advanced Modeling and Simulation in Engineering Sciences
    DOI
    10.1186/s40323-014-0015-3
    ae974a485f413a2113503eed53cd6c53
    10.1186/s40323-014-0015-3
    Scopus Count
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