Researchers from North Carolina State University and Elon University have made artificial cilia, or hair-like structures, that can bend into new shapes in response to a magnetic field, then return to their original shape when exposed to the proper light source.
“This work expands the capabilities of magnetic cilia and our understanding of their behaviors, which has potential applications in soft robotics, including microrobotics,” says Joe Tracy, corresponding author of a paper on the work and a professor of materials science and engineering at NC State. “A key point of this work is that we’ve demonstrated shape memory magnetic cilia whose shape can be set, locked, unlocked and reconfigured. This property will be useful for enhanced and new applications.”
The finding builds on the team’s earlier research designing soft robots that could be controlled using magnets and light. However, there are significant departures from the previous work.
“The cilia are actuated by magnetic torques, which means the cilia rotate and align with the field from an inexpensive permanent magnet, instead of being pulled toward the magnet,” says Ben Evans, co-author of the paper and a professor of physics at Elon. “Actuation of the soft robots in our earlier work relied on magnetic field gradients, which moved the robot by pulling it. The new approach offers another tool for designing soft robots.”
The researchers also developed a theoretical model that allows users to predict how the shape memory magnetic cilia will respond when actuated, or set into motion. In addition, the model explains why the cilia respond the way they do.
“These shape memory magnetic cilia are also simple to fabricate through self-assembly using inexpensive permanent magnets,” says Jessica Liu, first author of the paper and a recent Ph.D. graduate from NC State. “We’re optimistic that these demonstrations and our model can help the research community design ciliary systems with new capabilities for specific applications.”
“We think this work will contribute to advancing the capabilities of soft robotics,” Tracy says.
The paper, “Photothermally Reconfigurable Shape Memory Magnetic Cilia,” is published in the journal Advanced Materials Technologies. The work was done with support from the National Science Foundation (NSF) under grants CMMI-1663416 and CMMI-1662641. The work was performed, in part, at the Analytical Instrumentation Facility at NC State and the Duke University Shared Materials Instrumentation Facility, which are supported by the State of North Carolina and NSF grant ECCS-1542015.
Note to Editors: The study abstract follows.
“Photothermally Reconfigurable Shape Memory Magnetic Cilia”
Authors: Jessica A.-C. Liu and Joseph B. Tracy, North Carolina State University; and Benjamin A. Evans, Elon University
Published: May 25, Advanced Materials Technologies
Abstract: Stimulus-responsive polymers are attractive for microactuators because they can be easily miniaturized and remotely actuated, enabling untethered operation. In this work, magnetic Fe microparticles are dispersed in a thermoplastic polyurethane shape memory polymer matrix and formed into artificial, magnetic cilia by solvent casting within the vertical magnetic field in the gap between two permanent magnets. Interactions of the magnetic moments of the microparticles, aligned by the applied magnetic field, drive self-assembly of magnetic cilia along the field direction. The resulting magnetic cilia are reconfigurable using light and magnetic fields as remote stimuli. Temporary shapes obtained through combined magnetic actuation and photothermal heating can be locked by switching off the light and magnetic field. Subsequently turning on the light without the magnetic field drives recovery of the permanent shape. The permanent shape can also be reprogrammed after preparing the cilia by applying mechanical constraints and annealing at high temperature. Spatially controlled actuation is demonstrated by applying a mask for optical pattern transfer into the array of magnetic cilia. A theoretical model is developed for predicting the response of shape memory magnetic cilia and elucidates physical mechanisms behind observed phenomena, enabling the design and optimization of ciliary systems for specific applications.
This post was originally published in NC State News.