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Design of an optimized ECCA microchannel for particle manipulation utilizing dean flow coupled elasto-inertial method
Authors:Arash Mahboubidoust  Abas Ramiar  Kurosh Sedighi
Affiliation:1. Microfluidics and MEMs Lab, Babol Noshirvani University of Technology, Babol, Iran;2. Mechanical Engineering Department, Babol Noshirvani University of Technology, Babol, Iran
Abstract:In this paper, an Eulerian-Lagrangian simulation was conducted to achieve optimal Expanded-Contracted Cavity Arrays microchannel. First, a new code was developed to solve the viscoelastic flow field, and then the particles were solved by adding appropriate forces to the OpenFOAM Lagrangian solver. This code was then validated for both Eulerian and Lagrangian models. Subsequently, the effect of different parameters such as flow rate, distance from the inlet, cavity depth and distance, and particle size were also studied to obtain the proper geometry for particle focusing. Finally, the selected channel was integrated with a straight channel to separate 4.8 and 13 μm particles. The results of current research can be used to find a proper design of an Expanded-Contracted Cavity Arrays channel to achieve precise focusing and efficient, continuous, and sheathless particle/cell separation, which is much worthy for applications such as high-speed cytometry, cell counting, sorting, and many biological applications.
Keywords:Computational fluid dynamics (CFD)  Elasto-inertial focusing and separation  Expanded-contracted cavity arrays (ECCA) microchannel  Microfluidics  OpenFOAM  Viscoelastic
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