Publication: Selection for function: from chemically synthesized prototypes to 3D-printed microdevices
Files
Program
KU-Authors
KU Authors
Co-Authors
Bachmann, Felix
Giltinan, Joshua
Codutti, Agnese
Klumpp, Stefan
Faivre, Damien
Advisor
Publication Date
2020
Language
English
Type
Journal Article
Journal Title
Journal ISSN
Volume Title
Abstract
Magnetic microswimmers are promising devices for biomedical and environmental applications. Bacterium flagella-inspired magnetic microhelices with perpendicular magnetizations are currently considered standard for propulsion at low Reynolds numbers because of their well-understood dynamics and controllability. Deviations from this system have recently emerged: randomly shaped magnetic micropropellers with nonlinear swimming behaviors show promise in sensing, sorting, and directional control. The current progresses in 3D micro/nanoprinting allow the production of arbitrary 3D microstructures, increasing the accessible deterministic design space for complex micropropeller morphologies. Taking advantage of this, a shape is systematically reproduced that was formerly identified while screening randomly shaped propellers. Its nonlinear behavior, which is called frequency-induced reversal of swimming direction (FIRSD), allows a propeller to swim in opposing directions by only changing the applied rotating field's frequency. However, the identically shaped swimmers do not only display the abovementioned swimming property but also exhibit a variety of swimming behaviors that are shown to arise from differences in their magnetic moment orientations. This underlines not only the role of shape in microswimmer behavior but also the importance of determining magnetic properties of future micropropellers that act as intelligent devices, as single-shape templates with different magnetic moments can be utilized for different operation modes.
Description
Source:
Advanced Intelligent Systems
Publisher:
Wiley
Keywords:
Subject
Automation and control systems, Computer science, Artificial intelligence, Robotics