Microfluidic devices exhibit a high-aspect ratio in that their channel-widths are much smaller than their overall lengths. High-aspect geometry leads to an unduly large finite element mesh, making the (otherwise popular) finite element method (FEM) a poor choice for modeling microfluidic devices. An alternate computational strategy is to exploit well-known analytical solutions for fluid flow over the narrow channels of a device, and then either (a) assume the same analytical solutions for the cross-flow regions, or (b) exploit these solutions to set-up artificial boundary conditions over the cross-flow regions. Such simplified models are computationally far superior to brute-force FEM, but do not support the generality or flexibility of FEM. In this paper, we propose a third strategy for exploiting the analytical solutions: (c) directly incorporate them into standard FE-based analysis via algebraic reduction techniques. The advantages of the proposed strategy are (1) designers can use standard computer-aided design/computer-aided engineering (CAD/CAE) environments to model, analyze, and postprocess microfluidic simulation; (2) well-established dual-weighted residuals can be used to estimate modeling errors; and (3), if desired, one can eliminate the dependency on analytical solutions over selected regions, and instead revert to brute-force FEM. The simplicity and generality of the proposed method is inherited from the model reduction process, so are its theoretical properties, while simultaneously its computational efficiency is inherited from the use of analytical solutions.
Skip Nav Destination
e-mail: jrdanczyk@wisc.edu
e-mail: suresh@engr.wisc.edu
Article navigation
September 2009
Research Papers
Algebraic Dimensional Reduction for Microfluidic Simulation
Josh Danczyk,
Josh Danczyk
Department of Mechanical Engineering,
e-mail: jrdanczyk@wisc.edu
University of Wisconsin Madison
, 2059 Mechanical Engineering Building, 1513 University Avenue, Madison, WI 53706-1572
Search for other works by this author on:
Krishnan Suresh
Krishnan Suresh
Department of Mechanical Engineering,
e-mail: suresh@engr.wisc.edu
University of Wisconsin Madison
, 2059 Mechanical Engineering Building, 1513 University Avenue, Madison, WI 53706-1572
Search for other works by this author on:
Josh Danczyk
Department of Mechanical Engineering,
University of Wisconsin Madison
, 2059 Mechanical Engineering Building, 1513 University Avenue, Madison, WI 53706-1572e-mail: jrdanczyk@wisc.edu
Krishnan Suresh
Department of Mechanical Engineering,
University of Wisconsin Madison
, 2059 Mechanical Engineering Building, 1513 University Avenue, Madison, WI 53706-1572e-mail: suresh@engr.wisc.edu
J. Comput. Inf. Sci. Eng. Sep 2009, 9(3): 031001 (6 pages)
Published Online: August 4, 2009
Article history
Received:
November 2, 2007
Revised:
October 16, 2008
Published:
August 4, 2009
Citation
Danczyk, J., and Suresh, K. (August 4, 2009). "Algebraic Dimensional Reduction for Microfluidic Simulation." ASME. J. Comput. Inf. Sci. Eng. September 2009; 9(3): 031001. https://doi.org/10.1115/1.3184590
Download citation file:
Get Email Alerts
Cited By
Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems
J. Comput. Inf. Sci. Eng (November 2024)
A Real-time Associative Feature-based CRM and ERP Integration Model for SMEs
J. Comput. Inf. Sci. Eng
A Conceptual Design Method based on C-K Theory and Large Language Models
J. Comput. Inf. Sci. Eng
Evaluating Large Language Models for Material Selection
J. Comput. Inf. Sci. Eng
Related Articles
10th Anniversary Special Issue: From Fringe to Mainstream—We Have Come a Long Way
J. Comput. Inf. Sci. Eng (June,2011)
Rational Be´zier Line-Symmetric Motions
J. Mech. Des (March,2005)
Special Issue on Computing Technologies to Support Geometric Dimensioning & Tolerancing (GD&T)
J. Comput. Inf. Sci. Eng (March,2003)
Design and Stress Analysis of Low-Noise Adjusted Bearing Contact Spiral Bevel Gears
J. Mech. Des (September,2002)
Related Proceedings Papers
Related Chapters
3D Frame Structural Analysis Based on Imported Geometry at Preprocessing
International Conference on Mechanical and Electrical Technology 2009 (ICMET 2009)
Modeling in Biomedical Engineering
Intelligent Engineering Systems through Artificial Neural Networks, Volume 16
CAD/CAE Simulation Optimization
Taguchi Methods: Benefits, Impacts, Mathematics, Statistics and Applications