Electromechanical characterization of 3D printable conductive elastomer for soft robotics
Abstract
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.
BibTeX
@conference{Kim-2020-126711,author = {Suhan Kim and Sukjun Kim and Houriyeh Majditehran and Dinesh K. Patel and Carmel Majidi and Sarah Bergbreiter},
title = {Electromechanical characterization of 3D printable conductive elastomer for soft robotics},
booktitle = {Proceedings of 3rd IEEE International Conference on Soft Robotics (RoboSoft '20)},
year = {2020},
month = {May},
pages = {318 - 324},
}