Uncertainty quantification in models of microfluid systems

Habib N. Najm*, Bert J. Debusschere, Omar Knio, Roger R. Ghanem, Alain Matta, Olivier Le Maitre

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

Uncertainty quantification (UQ) in models of physical systems is a necessary tool for both model validation and engineering design optimization. We have applied UQ tools using stochastic spectral polynomial chaos techniques to the modeling of fluid flow in an electrokinetically driven microchannel, allowing for detailed buffer electrochemistry and finite rate analyte reactions. The model includes full coupling of wall electric double layer potential with variations in pH and local electric field. Allowing for uncertainties in species mobilities, buffer equilibrium constants, and wall properties, we have computed the resulting uncertainty in predicted model outputs, illustrating the impact of growth of uncertainty on confidence in model predictions. We present details of the computational UQ techniques with specific focus on their application in the electrochemical microfluidic context. We also present UQ results pertaining to model protein labeling in an electokinetically-pumped microchannel flow.

Original languageEnglish (US)
Pages (from-to)153-162
Number of pages10
JournalAmerican Society of Mechanical Engineers, Applied Mechanics Division, AMD
Volume254
DOIs
StatePublished - Jan 1 2003
Event2003 ASME International Mechanical Engineering Congress - Washington, DC., United States
Duration: Nov 15 2003Nov 21 2003

ASJC Scopus subject areas

  • Mechanical Engineering

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