Microfluidics and Nanofluidics

, Volume 12, Issue 1–4, pp 175–187 | Cite as

On the modelling of time-interleaved sequential lamination micromixers

Research Paper

Abstract

We develop a novel and simple theoretical model of time-interleaved sequential lamination micromixers that improves the model proposed by Nguyen and coworkers (Microfluid Nanofluid 1:373–375, 2005a, Lab Chip 5:1320–1326, b, J Phys Conf Ser 34:136–141, 2006) based on the Taylor–Aris dispersion theory. The Nguyen model takes into account the non uniform structure of the velocity profile through an effective dispersion coefficient. However, it is essentially a one-dimensional model that is not suitable to describe (i) neither the behavior of mixing occurring at short length-scales, and characterized by the growth of a mixing boundary layer near the channel walls, (ii) nor the exponential decay of the concentration field occurring at larger length-scales. The model we propose, which is based upon the theory of imaginary potential developed by Giona et al. (J Fluid Mech 513:221–237, 2004, Europhys Lett 83:34001, 2008, J Fluid Mech 639:291–341, 2009a), is able to provide quantitative predictions on the evolution of the L 2-norm of the concentration fields as function of the axial coordinate ξ, both for short and asymptotic lengthscales. The quantitative comparison with respect to the Nguyen model is illustrated and discussed. Finally, the coupling between parallel lamination and sequential segmentation is analyzed, and leads to unexpected and apparently counter-intuitive findings.

Keywords

Micromixers Mixing Dispersion Sequential segmentation Time-interleaved lamination Advection–diffusion operator 

References

  1. Andersson H, van den Berg A (2003) Microfluidic devices for cellomics: a review. Sens Actuators B 92:315–325CrossRefGoogle Scholar
  2. Aris R (1956) On the dispersion of a solute in a fluid flowing through a tube. Proc R Soc A 235:67–77CrossRefGoogle Scholar
  3. Bhagat AAS, Peterson ETK, Papautsky I (2007) A passive planar micromixer with obstructions for mixing at low Reynolds numbers. J Micromech Microeng 17:1017CrossRefGoogle Scholar
  4. Cerbelli S, Giona M (2008) On the estimate of mixing length in interdigital micromixers. Chem Eng J 138:523–537CrossRefGoogle Scholar
  5. Cerbelli S, Garofalo F, Giona M (2008) Steady-state performance of an infinitely fast reaction in a three-dimensional open Stokes flow. Chem Eng Sci 63:4396–4411CrossRefGoogle Scholar
  6. Cerbelli S, Adrover A, Garofalo F, Giona M (2009) Spectral characterization of mixing properties of annular MHD micromixers. Microfluidic Nanofluidic 6:747–761CrossRefGoogle Scholar
  7. Coleman JT, Stinton D (2005) A sequential injection microfluidic mixing strategy. Microfluid Nanofluid 1:319–327CrossRefGoogle Scholar
  8. Garofalo F, Giona M (2011) Dispersion-induced mixing in simple flows: evidence for new anomalous scaling laws in the mixing boundary layer beyond the Lèvêque theory. Europhys Lett 93:54003CrossRefGoogle Scholar
  9. Giona M (2009) Advection-diffusion in chaotic flow. CISM Courses Lect 510:149–217MathSciNetGoogle Scholar
  10. Giona M, Cerbelli S, Vitacolonna V (2004) Universality and imaginary potentials in advectiondiffusion equations in closed flows. J Fluid Mech 513:221–237CrossRefMATHMathSciNetGoogle Scholar
  11. Giona M, Cerbelli S, Garofalo F (2008) Complex spectral properties of non-Hermitian operators: an application to open-flow mixing systems. Europhys Lett 83:34001CrossRefGoogle Scholar
  12. Giona M, Cerbelli S, Garofalo F (2009a) Characterization of stationary mixing patterns in a three-dimensional open Stokes flow: Spectral properties, localization and mixing regimes. J Fluid Mech 639:291–341CrossRefMATHGoogle Scholar
  13. Giona M, Adrover A, Cerbelli S, Garofalo F (2009b) Laminar dispersion at high Peclet numbers in finite-length channels: effects of the near-wall velocity profile and connection with the generalized Leveque problem. Phys Fluids 21:1–20CrossRefGoogle Scholar
  14. Gobby D, Angeli P, Gavriilidis A (2001) Mixing characteristics of T-type microfluidic mixers. J Micromech Microeng 11:126CrossRefGoogle Scholar
  15. Huiqian Y, Nguyen NT, Huang X (2006) Micromixer based on Taylor dispersion. J Phys Conf Ser 34:136–141CrossRefGoogle Scholar
  16. Kim MC, Kim S, Park JS, Park HD (2003) Numerical simulation of micromixing by pulsatile micropump. J Ind Eng Chem 9:602–606Google Scholar
  17. Nguyen NT, Huang X (2005a) An analytical model for mixing based on time-interleaved sequential segmentation. Microfluidic Nanofluidic 1:373–375CrossRefGoogle Scholar
  18. Nguyen NT, Huang X (2005b) Mixing in microchannels based on hydrodynamic focusing and time-interleaved segmentation: modeling and experiment. Lab Chip 5:1320–1326CrossRefGoogle Scholar
  19. Nguyen NT, Wu Z (2005) Micromixers—a review. J Micromech Microeng 15:R1–R16CrossRefGoogle Scholar
  20. Okamoto H, Ushijima T, Kitoh O (2004) New methods for increasing productivity by using microreactors planar pumping and alternating pumping types. Chem Eng J 101:57–63CrossRefGoogle Scholar
  21. Ohno K, Tachikawa K, Manz A (2008) Microfluidics: applications for analytical purposes in chemistry and biochemistry. Electrophoresis 29:4443–4453CrossRefGoogle Scholar
  22. Tabeling P, Chabert M, Dodge A, Jullien C, Okkels F (2004) Chaotic mixing in cross-channel micromixers. Phil Trans R Soc Lond A 362:987–1000CrossRefGoogle Scholar
  23. Tan CKL, Tracey MC, Davis JB, Johnston ID (2005) Continously variable mixing-ratio micromixer with elastomer valves. J Micromech Microeng 15:1885–1893CrossRefGoogle Scholar
  24. Truesdell RA, Vorobieff PV, Sklar LA, Mammoli AA (2003) Mixing of a continous flow of two fluids due to unsteady flow. Phys Rev E 67:066304CrossRefGoogle Scholar
  25. Weibel DB, Whitesides GM (2006) Applications of microfluidics in chemical biology. Curr Opin Chem Biol 10:584–591CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  1. 1.Dipartimento di Ingegneria ChimicaUniversità di Roma “La Sapienza”RomeItaly

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