Gait coordination and hydrodynamic performance of a quadriflagellate robophysical model
ORAL
Abstract
Multi-legged animals coordinate their limbs in distinctive patterns known as gaits. At the microscopic scale, quadriflagellate algae have been found to exhibit similar capabilities, coordinating their flagella to numerous rhythmic patterns to generate propulsion (Wan & Goldstein, 2016). To study quadriflagellate gait coordination, we developed a robophysical model which replicates quadriflagellate swimming at low-Reynolds number. We focus on two distinct gaits, the pronk and the trot, and explored the effects of flagellar orientation. When the flagella were oriented parallel to the cell body, forward motion was measured at 0.30±0.09 body lengths per gait cycle (BL/cyc) for the trot and at 0.19±0.03 BL/cyc for the pronk. Results are comparable to microorganisms’ performance, where using the trot enables a higher speed (0.39±0.18 BL/cyc) than the pronk (0.18±0.05 BL/cyc). Surprisingly, when the flagella beat planes were perpendicular to the cell body, hydrodynamic performance improved significantly. Forward motion was measured at 0.66±0.13 BL/cyc for the trot and at 0.38±0.10 BL/cyc for the pronk. The results show that hydrodynamic performance is highly sensitive to swimming gait and flagellar orientation.
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Presenters
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Tommie Robinson
Georgia Inst of Tech
Authors
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Tommie Robinson
Georgia Inst of Tech
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Kelimar Diaz
Georgia Inst of Tech, Georgia Institute of Technology, Georgia Tech
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Yasemin Ozkan-Aydin
Georgia Inst of Tech, Physics, Georgia Institute of Technology, Georgia Institute of Technology
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Kirsty Wan
Physics, University of Exeter, Living Systems Institute, University of Exeter, University of Exeter
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Daniel I Goldman
Georgia Inst of Tech, Physics, Georgia Institute of Technology, Mechanical Engineering, Georgia Inst of Tech, Georgia Tech, Georgia Institute of Technology