Uncertainty Quantification in a Reacting Electrochemical Microchannel Flow Model

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We describe a technique for modeling electrochemical microchannel flows including the propagation of uncertainty from model parameters and boundary conditions to the model predictions. The approach uses a pseudo-spectral stochastic construction with a polynomial chaos (PC) representation for parameters and field quantities. Using a Galerkin approach, the governing equations are reformulated into equations for the coeffcients in the PC expansion. The implementation of the resulting uncertainty propagation schemes is illustrated in the context of micro fluidic applications, including a homogeneous protein-labeling reaction as well as two-dimensional electrochemical flow.

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Journal: TechConnect Briefs
Volume: 1, Technical Proceedings of the 2002 International Conference on Modeling and Simulation of Microsystems
Published: April 22, 2002
Pages: 384 - 387
Industry sector: Sensors, MEMS, Electronics
Topic: Modeling & Simulation of Microsystems
ISBN: 0-9708275-7-1