Title :
Flows in micro fluidic networks: from theory to simulation
Author :
Noort, Danny Vam ; McCaskill, John S.
Author_Institution :
Ecology & Evolutionary Biol. Dept., Princeton Univ., NJ, USA
Abstract :
When complex flow structures are designed, such as in DNA computing [McCaskill, J.S., (2001)], it is essential to be able to predict the flow pattern of the solutions in the fluidic network. A model based on the resistance of the channels and flow velocities of the inlets can eliminated reiterative design steps. We have constructed a symbolic model (using Mathematica®) to determine the desired flow pattern based on the equations of Ohm and Kirchoff. The values from this simulation were used in a flow simulation program.
Keywords :
Navier-Stokes equations; biocomputing; computational fluid dynamics; flow simulation; mathematics computing; microfluidics; symbol manipulation; DNA computing; Kirchoff equation; Mathematica; Ohm equation; complex flow structures; flow simulation program; microfluidic network; Biological system modeling; Circuits; Computational modeling; Electric resistance; Fluidic microsystems; Immune system; Intelligent networks; Microfluidics; Navier-Stokes equations; Wire;
Conference_Titel :
Evolutionary Computation, 2003. CEC '03. The 2003 Congress on
Print_ISBN :
0-7803-7804-0
DOI :
10.1109/CEC.2003.1299407
