Microswimmer-induced chaotic mixing
Mir Abbas Jalali, Atefeh Khoshnood, Mohammad‐Reza Alam
Sharif University of Technology University of California, Berkeley Reservoir Engineering Research Institute
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摘要与影响
Efficient mixing, typically characterised by chaotic advection, is hard to achieve in low Reynolds number conditions because of the linear nature of the Stokes equation that governs the motion. Here we show that low Reynolds number swimmers moving in quasi-periodic orbits can result in considerable stretching and folding of fluid elements. We accurately follow packets of tracers within the fluid domain and show that their trajectories become chaotic as the swimmer’s trajectory densely fills its invariant torus. The mixing process is demonstrated in two dimensions using the Quadroar swimmer that autonomously propels and tumbles along quasi-periodic orbits with multi-loop turning trajectories. We demonstrate and discuss that the streamlines of the flow induced by the Quadroar closely resemble the oscillatory flow field of the green algaChlamydomonas reinhardtii. Our findings can thus be utilized to understand the interactions of microorganisms with their environments, and to design autonomous robotic mixers that can sweep and mix an entire volume of complex geometry containers.
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物理Micro and Nano Robotics
Microfluidic and Bio-sensing Technologies · Modular Robots and Swarm Intelligence
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