4.7 Article

Self-ordering and organization of in-line particle chain in a square microchannel

Journal

PHYSICS OF FLUIDS
Volume 34, Issue 2, Pages -

Publisher

AIP Publishing
DOI: 10.1063/5.0082577

Keywords

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Funding

  1. National Natural Science Foundation of China [51706136]
  2. Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning

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This study numerically investigates the self-ordering and organization of an in-line particle chain flowing through a microchannel. The results show that small-particle chains exhibit a relatively complex migration, with three typical states observed. The interparticle spacing evolves in a similar regularity with the three states. The study provides insight into the regularities of in-line particle chains and their potential applications.
Precise determination of microfluidic behaviors is theoretically significant and has shown remarkable application prospects. This work numerically studies the self-ordering and organization of an in-line particle chain flowing through a square microchannel. The immersed boundary-lattice Boltzmann method is employed, and effects of particle Reynolds number (Re-p), length fraction (& lang;L-f & rang;, characterizes particle concentration), and particle size are focused. Results imply a relatively complex migration of small-particle chains. Three typical states are observed, that is, the equilibrium position finally in a stabilized, fluctuated, or chaotic condition. The corresponding dynamic processes are presented. Interestingly, how interparticle spacing evolves with time shows similar regularity with the three states, corresponding to a particle chain either being evenly distributed, moving like a bouncing spring, or continuously in disordered motions. The flow field and force conditions are analyzed to clarify the mechanisms, suggesting the subtle interaction among vortex-induced repulsive force, wall-induced lift force, and shear gradient lift force is the reason behind. Based on different states, migratory patterns are categorized as Stable Pattern, Spring Pattern, and Chaotic Pattern, and an overall classification is also obtained. Moreover, effects of Re-p and & lang;L-f & rang; are identified, where a rising Re-p leads to an equilibrium position toward the wall and larger volatility of interparticle spacings. The dynamic characteristics are characterized by lagging, translational, and angular velocities of particles in the chain. Finally, a contrastive study of large particles is performed. The present investigation is expected to provide insight into regularities of in-line particle chains and possible applications.

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