Automated design for microfluid flow sculpting: Multiresolution approaches, efficient encoding, and CUDA implementation

Journal of Fluids Engineering, Transactions of the ASME

Volumn 139, Issue 3, 2017, Pages

  Stoecklein, Daniel ^a   Davies, Michael ^a   Wubshet, Nadab ^b,c   Le, Jonathan ^c   Ganapathysubramanian, Baskar ^c  

^a Iowa State University of Science and Technology   (United States)

^b AUGUSTANA UNIVERSITY   (United States)

^c Hoover High School   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ASPECT RATIO; COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; ENCODING (SYMBOLS); GENETIC ALGORITHMS; GRAPHICS PROCESSING UNIT; INVERSE PROBLEMS; MEDICAL APPLICATIONS; MICROFLUIDICS; PETROLEUM PROSPECTING; PROGRAM PROCESSORS; SIGNAL ENCODING;

AUTOMATED OPTIMIZATION; BIOMEDICAL APPLICATIONS; FREELY AVAILABLE SOFTWARE; GENETIC ALGORITHM (GAS); GRAPHICS PROCESSING UNIT (GPU); MICRO-FLUIDIC DEVICES; MULTI-RESOLUTION APPROACH; MULTIPLE MICROCHANNELS;

FLOW OF FLUIDS;

EID: 85058877543     PISSN: 00982202     EISSN: 1528901X     Source Type: Journal    
DOI: 10.1115/1.4034953     Document Type: Article

References (19)

1. Amini, H., Sollier, E., Masaeli, M., Xie, Y., Ganapathysubramanian, B., Stone, H. A., and Di Carlo, D., 2013, “Engineering Fluid Flow Using Sequenced Microstructures,” Nat. Commun., 4, pp. 1826-1834.
2. Stoecklein, D., Wu, C.-Y., Owsley, K., Xie, Y., Di Carlo, D., and Ganapathysubramanian, B., 2014, “Micropillar Sequence Designs for Fundamental Inertial Flow Transformations,” Lab Chip, 14(21), pp. 4197-4204.
3. Lepchev, D., and Weihs, D., 2010, “Low Reynolds Number Flow in Spiral Microchannels,” ASME J. Fluids Eng., 132(7), p. 071202.
4. Zhou, T., Xu, Y., Liu, Z., and Joo, S. W., 2015, “An Enhanced One-Layer Passive Microfluidic Mixer With an Optimized Lateral Structure With the Dean Effect,” ASME J. Fluids Eng., 137(9), p. 091102.
5. Wang, Y., Zhe, J., Dutta, P., and Chung, B. T., 2007, “A Microfluidic Mixer Utilizing Electrokinetic Relay Switching and Asymmetric Flow Geometries,” ASME J. Fluids Eng., 129(4), pp. 395-403.
6. Stoecklein, D., Wu, C.-Y., Kim, D., Di Carlo, D., and Ganapathysubramanian, B., 2016, “Optimization of Micropillar Sequences for Fluid Flow Sculpting,” Phys. Fluids, 28(1), pp. 53-65.
7. Nunes, J. K., Wu, C. Y., Amini, H., Owsley, K., Di Carlo, D., and Stone, H. A., 2014, “Fabricating Shaped Microfibers With Inertial Microfluidics,” Adv. Mater., 26(22), pp. 3712-3717.
8. Paulsen, K. S., Di Carlo, D., and Chung, A. J., 2015, “Optofluidic Fabrication for 3D-Shaped Particles,” Nat. Commun., 6, pp. 6976-6985.
9. Wu, C.-Y., Owsley, K., and Di Carlo, D., 2015, “Rapid Software-Based Design and Optical Transient Liquid Molding of Microparticles,” Adv. Mater., 27(48), pp. 7970-7978.
10. Paulsen, K. S., and Chung, A. J., 2016, “Non-Spherical Particle Generation From 4D Optofluidic Fabrication,” Lab Chip, 16(16), pp. 2987-2995.
11. Sollier, E., Amini, H., Go, D., Sandoz, P., Owsley, K., and Di Carlo, D., 2015, “Inertial Microfluidic Programming of Microparticle-Laden Flows for Solution Transfer Around Cells and Particles,” Microfluid. Nanofluid., 19(1), pp. 53-65.
12. Foli, K., Okabe, T., Olhofer, M., Jin, Y., and Sendhoff, B., 2006, “Optimization of Micro Heat Exchanger: CFD, Analytical Approach and Multi-Objective Evolutionary Algorithms,” Int. J. Heat Mass Transfer, 49, pp. 1090-1099.
13. Lee, Y.-T., Ahuja, V., Hosangadi, A., and Ebert, M., 2010, “Shape Optimization of a Multi-Element Foil Using an Evolutionary Algorithm,” ASME J. Fluids Eng., 132(5), p. 051401.
14. Ahuja, V., Hartfield, R. J., and Shelton, A., 2014, “Optimization of Hypersonic Aircraft Using Genetic Algorithms,” Appl. Math. Comput., 242, pp. 423-434.
15. Lyutov, A. E., Chirkov, D. V., Skorospelov, V. A., Turuk, P. A., and Cherny, S. G., 2015, “Coupled Multipoint Shape Optimization of Runner and Draft Tube of Hydraulic Turbines,” ASME J. Fluids Eng., 137(11), p. 111302.
16. Holland, J. H., 1992, “Genetic Algorithms,” Sci. Am., 267(1), pp. 66-71.
17. Kim, D. S., Jung, D. H., and Kim, Y. Y., 2008, “Multiscale Multiresolution Genetic Algorithm With a Golden Sectioned Population Composition,” Int. J. Numer. Methods Eng., 74(3), pp. 349-367.
18. Babbar, M., and Minsker, B. S., 2006, “Groundwater Remediation Design Using Multiscale Genetic Algorithms,” J. Water Resour. Plann. Manage., 132(5), pp. 341-350.
19. Saito, M., and Matsumoto, M., 2008, “SIMD-Oriented Fast Mersenne Twister: A 128-bit Pseudorandom Number Generator,” Monte Carlo and Quasi-Monte Carlo Methods 2006, A. Keller, S. Heinrich, and H. Niederreiter, eds., Springer, Berlin, pp. 607-622.