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Soft, stretchable sensors, such as artificial skins or tactile sensors, are attractive for numerous soft robotic applications due to the low material compliance. Conductive polymers are a necessary component of many soft sensors, and this work presents the electromechanical characterization of 3D-printable conductive polymer composites. Dog-bone shaped samples were 3D printed using a digital light processing (DLP)-based 3D printer for characterization. The 3D printable resin consists of monomer, crosslinker, conductive nano-filler, and a photo-initiator. The characterization was performed in two tracks. First, the effect of two different crosslinkers was investigated with different compositions and second, the effect of concentration of conductive nano-fillers was explored. Crosslinkers were chosen by referring to previous studies, and carbon nanotubes (CNTs) were utilized as conductive nano-fillers. The samples were 3D printed and characterized using an electromechanical test setup. To demonstrate utility for 3D printed soft robotics, a capacitance-based joystick sensor composed of both conductive and non-conductive resins was 3D printed.
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Reversible photo-patterning of soft conductive materials via spatially-defined supramolecular assembly
A strategy for reversible patterning of soft conductive materials is described, based upon a combination of peptide-based block copolymer hydrogelators and photo-thermally-active carbon nanotubes. This composite displays photo-responsive gelation at application-relevant timescales (<10 s), allowing for rapid and spatially-defined construction of conductive patterns (>100 S m −1 ), which, additionally, hold the capability to revert to sol upon sonication for reprocessing.
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- PAR ID:
- 10173098
- Date Published:
- Journal Name:
- Chemical Communications
- Volume:
- 52
- Issue:
- 54
- ISSN:
- 1359-7345
- Page Range / eLocation ID:
- 8455 to 8458
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1039/C6CC03579E
