JOURNAL ARTICLE

Optimization of bio-inspired multi-segment IPMC cilia

Sina SarehAndrew T. ConnJonathan RossiterIoannis IeropoulosPeter Walters

Year: 2010 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 7642 Pages: 76421S-76421S   Publisher: SPIE

Abstract

In nature, unidirectional fluid flows are often induced at micro-scales by cilia and related organelles. A controllable unidirectional flow is beneficial at these scales for a range of novel robotic and medical applications, whether the flow is used for propulsion (e.g. swimming robots) or mass transfer (e.g. prosthetic trachea). Ionic Polymer Metal Composites(IPMCs) are innovative smart materials that can be used directly as active propulsive surfaces rather than a traditional motor and propeller. IPMC actuators with two segmented electrodes that attempt to mimic the motion of cilia-like organelles have been realized. In this paper the optimization of these actuators towards producing unidirectional flows is described. A parametric study of the kinematic and hydrodynamic effect of modulating the drive signal has been conducted. As with eukaryotic cilia and flagella found in mammals, the segmented IPMC actuator can generate both flexural (asymmetric) and undulatory (symmetric) motions from the same physical structure. The motion is controlled by applying profiles of driving frequencies and phase differences. Kinematic analysis using a camera and laser displacement sensor has been used to measure and classify different motion types. The hydrodynamic forces produced by each motion type have been estimated using particle-tracking flow visualization. This allows drive signal profiles to be ranked in terms of fluid flow momentum transfer and directionality. Using the results of the parametric study, the IPMC motion is optimized towards producing unidirectional flow via repeatable cilia-inspired motion.

Keywords:
Kinematics Actuator SIGNAL (programming language) Flow visualization Acoustics Propulsion Propeller Computer science Physics Biomimetics Cilium Flow (mathematics) Mechanics Artificial intelligence Classical mechanics Engineering

Metrics

10
Cited By
0.86
FWCI (Field Weighted Citation Impact)
7
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Dielectric materials and actuators
Physical Sciences →  Engineering →  Biomedical Engineering
Micro and Nano Robotics
Physical Sciences →  Physics and Astronomy →  Condensed Matter Physics
Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering

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