Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-25T18:55:57.007Z Has data issue: false hasContentIssue false
  • English
  • Français

Numerical analysis of the mixing of two gases in a microchannel

Published online by Cambridge University Press:  14 February 2014

M. Reyhanian ,
C. Croizet  and
R. Gatignol
Get access

Abstract

We present the results of a numerical simulation of a mixing process of two parallel streams of nitrogen (N2) and carbon monoxide (CO), in a microchannel with a splitter plate mounted at the inlet. As an attempt to enhance mixing efficiency, bumps are added on the channel walls, downstream the splitter. Typically, in such a passive micro device, the gas flow is laminar, rarefied, and characterized by a Knudsen number in the range of about 0.01 to 0.5, that is in the transition flow regime. The Direct Simulation Monte Carlo (DSMC) method is employed to explore the influence of the bumps and the splitter plate, and to analyze the sensitivity of the gas mixing length to parameters such as the inlet velocity as well as the height and location of the bumps. For a selected range of parameters, quantitative analytical and numerical results are in very good agreement.

Keywords

Rarefied gasesmicrochannelpassive micro mixerdirect simulation Monte Carlo (DSMC) methodmixing process
Type
Research Article
Information
Mechanics & Industry , Volume 14 , Issue 6 , 2013 , pp. 453 - 460
Copyright
© AFM, EDP Sciences 2014

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Wu, J.S., Tseng, K.C., Analysis of micro-scale gas flows with pressure boundaries using direct simulation Monte Carlo method, Comput. Fluids 30 (2001) 711–735 CrossRefGoogle Scholar
P. Tabeling, Introduction à la micro-fluidique, Berlin, Paris, 2003
Wang, M., Li, Z., Gas mixing in microchannels using the direct simulation Monte Carlo method, Int. J. Heat Mass Transfer. 49 (2006) 1696–1702 CrossRefGoogle Scholar
Le, M., Hassan, I., DSMC Simulation of gas mixing in T-shape micromixer, Appl. Therm. Eng. 27 (2007) 2370–2377 CrossRefGoogle Scholar
Yan, F., Farouk, B., Numerical simulation of gas flow and mixing in a microchannel using the direct simulation Monte Carlo method, Microscale Therm. Eng. 6 (2002) 235–251 CrossRefGoogle Scholar
G.Em. Karniadakis, A. Beskok, N.R. Aluru, Microflows and nanoflows: fundamentals and simulation, Springer-Verlag, New York, 2005
G.A. Bird, Molecular gas dynamics and the direct simulation of gas flows, Clarendon, Oxford, 1994
Szalmas, L., Geofroy, S., Pitakarnnop, J., Colin, S., Valougeorgis, D., Comparative study between computational and experimental results for binary rarefied gas flows through long microchannels, Microfluid. Nanofluid. 9 (2010) 1103–1114 CrossRefGoogle Scholar
McCormack, F.J., Construction of linearized kinetic models for gaseous mixtures and molecular gases, Phys. Fluids 16 (1973) 2095–2105 CrossRefGoogle Scholar
Szalmas, L., Valougeorgis, D., Rarefied gas flow of binary mixtures through long channels with triangular and trapezoidal cross section, Microfluid. Nanofluid. 9 (2010) 471–487 CrossRefGoogle Scholar
Buet, C., A discrete-velocity scheme for the Boltzmann operator of rarefied gas dynamics, Transport Theor. Stat. 25 (1996) 33–60 CrossRefGoogle Scholar
G.A. Bird, http://www:aeromech.usyd.edu.au/dsmc_gab/
Hadjiconstantinou, N.G., Garcia, A.L., Gazant, M.Z., He, G., Statistical error in particle simulations of hydrodynamic phenomena, J. Comput. Phys. 187 (2003) 274–297 CrossRefGoogle Scholar
M. Reyhanian Mashhadi, Simulation numérique par la méthode de Monte Carlo (DSMC) et modélisation analytique d’un mélange gazeux dans un micro canal, Thèse, Université Pierre et Marie Curie, Paris, 2011
S.G. Kandlikar, S. Garimella, D. Li, S. Colin, M.R. King, Heat transfer and fluid flow in minichannels and microchannels, Elsevier, Paris, 2005
D. Ameur, Modélisation analytique et simulation numérique par la méthode de Monte Carlo d’un écoulement de gaz dans des micro-canaux, Thèse, Université Pierre et Marie Curie, Paris, 2008
Gatignol, R., Croizet, C., Asymptotic modelling of the flows in micro-channel by using macroscopic balance equations, in: D.A. Levin, I.J. Wysong, A.L. Garci (eds.), Proceedings of 27th International Symposium on Rarefied Gas Dynamics, AIP Conf. Proc. 1333 (2010) 730–735Google Scholar