Skip to main content
Log in

Stability condition of self-organizing staggered particle trains in channel flow

  • Research Paper
  • Published:
Microfluidics and Nanofluidics Aims and scope Submit manuscript

Abstract

The inertial focusing of particles in channel flow of a Newtonian fluid is studied using the lattice Boltzmann method. The effects of Reynolds number (Re) and blockage ratio (k) on the stability condition of self-organizing staggered particle trains are explored. The results show that, for staggered particle pairs, the particles will move close to each other with a damped oscillatory trajectory and form a steady horizontal spacing eventually. For single-line particle pairs, the inter-particle spacing increases continuously to a larger value for further downstream. Two lines of 12 particles will self-organize the staggered particle trains. The formation of stable staggered particle trains is dependent on Re and k. Particles with low k in the staggered particle trains are more likely to be unstable or fluctuate within a certain range when Re is larger than a critical value. As k increases, the critical values of Re corresponding to the inter-particle spacing with a stable value or a certain range of fluctuation are also increased. The mean particle spacing decreases with increasing k and decreasing Re, and the blockage ratio k has a greater effect on the particle spacing than Reynolds number Re.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  • Abbas M, Magaud P, Gao YF, Geoffroy S (2014) Migration of finite sized particles in a laminar square channel flow from low to high Reynolds numbers. Phys Fluids 26(12):136–157

    Article  Google Scholar 

  • Aidun CK, Lu Y, Ding E (2000) Direct analysis of particulate suspensions with inertia using the discrete Boltzmann equation. J Fluid Mech 373:287–311

    Article  Google Scholar 

  • Choi YS, Seo KW, Lee SJ (2011) Lateral and cross-lateral focusing of spherical particles in a square microchannel. Lab Chip 11(3):460–465

    Article  Google Scholar 

  • Daniel S, Di Carlo D (2019) Nonlinear microfluidics. Anal Chem 91:296–314

    Article  Google Scholar 

  • Di Carlo D, Irimia D, Tompkins RG, Toner M (2007) Continuous inertial focusing, ordering, and separation of particles in microchannels. Proc Natl Acad Sci USA 104:18892–18897

    Article  Google Scholar 

  • Gao YF, Magaud P, Baldas L, Lafforgue C, Abbas M (2017) Self-ordered particle trains in inertial microchannel flows. Microfluid Nanofluid 21(10):154

    Article  Google Scholar 

  • Gao YF, Magaud P, Lafforgue C, Colin S, Baldas L (2019) Inertial lateral migration and self-assembly of particles in bidisperse suspensions in microchannel flows. Microfluid Nanofluid 23(7):93

    Article  Google Scholar 

  • Giudice F, Del DG, Greco FPL (2018) Fluid viscoelasticity drives self-assembly of particle trains in a straight microfluidic channel. Phys Rev Appl 10(6):064058

    Article  Google Scholar 

  • Glowinski R, Pan TW, Hesla TI, Joseph DD (2001) A fictitious domain approach to the direct numerical simulation of incompressible viscous flow past moving rigid bodies: application to particulate flow. J Comput Phys 169(2):363–426

    Article  MathSciNet  Google Scholar 

  • Guo Z, Zheng C, Shi B (2002) Discrete lattice effects on the forcing term in the lattice Boltzmann method. Phys Rev E 65(4):046308

    Article  Google Scholar 

  • Gupta A, Magaud P, Lafforgue C, Abbas M (2018) Conditional stability of particle alignment in finite-Reynolds-number channel flow. Phys Rev Fluids 3:114302

    Article  Google Scholar 

  • He X, Shan X, Doolen GD (1998) Discrete Boltzmann equation model for nonideal gases. Phys Rev E 57(1):R13–R16

    Article  Google Scholar 

  • Hood K, Lee S, Roper M (2015) Inertial migration of a rigid sphere in three-dimensional Poiseuille flow. J Fluid Mech 765:452–479

    Article  MathSciNet  Google Scholar 

  • Hu X, Lin JZ, Ku XK (2019) Inertial migration of circular particles in Poiseuille flow of a power-law fluid. Phys Fluids 31:073306

    Article  Google Scholar 

  • Humphry KJ, Kulkarni PM, Weitz DA, Morris JF (2010) Axial and lateral particle ordering in finite Reynolds number channel flows. Phys Fluids 22(8):081703

    Article  Google Scholar 

  • Hur SC, Tse HT, Di Carlo D (2010) Sheathless inertial cell ordering for extreme throughput flow cytometry. Lab Chip 10(3):274–280

    Article  Google Scholar 

  • Jiang MQ, Qian SZ, Liu ZH (2018) Fully resolved simulation of single-particle dynamics in a microcavity. Microfluid Nanofluid 22(12):144

    Article  Google Scholar 

  • Kahkeshani S, Haddadi H, Di Carlo D (2016) Preferred interparticle spacings in trains of particles in inertial microchannel flows. J Fluid Mech 786:R3

    Article  Google Scholar 

  • Ladd AJC (1994) Numerical simulations of particulate suspensions via a discretized Boltzmann-equation. Part 1. Theoretical foundation. J Fluid Mech 271:285–309

    Article  MathSciNet  Google Scholar 

  • Lee W, Amini H, Stone HA (2010) Dynamic self-assembly and control of microfluidic particle crystals. Proc Natl Acad Sci USA 107(52):22413–22418

    Article  Google Scholar 

  • Li D, Xuan X (2018) Fluid rheological effects on particle migration in a straight rectangular microchannel. Microfluid Nanofluid 22(4):49

    Article  Google Scholar 

  • Matas JP, Morris JF, Guazzelli E (2004) Inertial migration of rigid spherical particles in Poiseuille flow. J Fluid Mech 515:171–195

    Article  Google Scholar 

  • Matas JP, Morris JF, Guazzelli E (2009) Lateral force on a rigid sphere in large-inertia laminar pipe flow. J Fluid Mech 621:59–67

    Article  Google Scholar 

  • Nie D, Lin JZ, Chen R (2016) Grouping behavior of coaxial settling particles in a narrow channel. Phys Rev E 93(1):013114

    Article  Google Scholar 

  • Pan Z, Zhang R, Yuan C, Wu HY (2018) Direct measurement of microscale flow structures induced by inertial focusing of single particle and particle trains in a confined microchannel. Phys Fluids 30(10):081703

    Article  Google Scholar 

  • Qian YH, D’humières D, Lallemand P (1992) Lattice BGK models for Navier–Stokes equation. Europhys Lett 17:479–484

    Article  Google Scholar 

  • Sajeesh P, Sen AK (2014) Particle separation and sorting in microfuidic devices: a review. Microfluid Nanofluid 17:1–52

    Article  Google Scholar 

  • Schaaf C, Rühle F, Stark H (2017) A flowing pair of particles in inertial microfluidics. Soft Matter 9(15):1988–1998

    Google Scholar 

  • Schiller UD, Fleury JB, Seemann R (2015) Collective waves in dense and confined microfluidic droplet arrays. Soft Matter 11:5850–5861

    Article  Google Scholar 

  • Segré G, Silberberg A (1961) Radial poiseuille flow of suspensions. Nature 189:209–210

    Article  Google Scholar 

  • Wen BH, Li HB, Zhang CY, Fang HP (2012) Lattice-type-dependent momentum-exchange method for moving boundaries. Phys Rev E 85:016704

    Article  Google Scholar 

  • William UE, Doyle P (2014) Self-organizing microfluidic crystals. Soft Matter 10(28):5177–5191

    Article  Google Scholar 

  • Xia Y, Lin JZ, Ku XK (2018) Flow-induced rotation of circular cylinder in Poiseuille flow of power-law fluids. J Non-Newton Fluid Mech 260:120–132

    Article  MathSciNet  Google Scholar 

  • Xuan X, Zhu J, Church C (2010) Particle focusing in microfuidic devices. Microfluid Nanofluid 9:1–16

    Article  Google Scholar 

  • Yan Y, Morris JF, Koplik J (2007) Hydrodynamic interaction of two particles in confined linear shear flow at finite Reynolds number. Phys Fluids 19(11):113305

    Article  Google Scholar 

  • Yuan C, Pan ZH, Wu HY (2018) Inertial migration of single particle in a square microchannel over wide ranges of Re and particle sizes. Microfluid Nanofluid 22(9):102

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported by the National Natural Science Foundation of China with Grant nos. 91852102 and 11632016.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianzhong Lin.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (AVI 9442 kb)

Supplementary file2 (AVI 7326 kb)

Supplementary file3 (AVI 14241 kb)

Supplementary file4 (AVI 14542 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hu, X., Lin, J., Chen, D. et al. Stability condition of self-organizing staggered particle trains in channel flow. Microfluid Nanofluid 24, 25 (2020). https://doi.org/10.1007/s10404-020-2329-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10404-020-2329-4

Keywords

Navigation