
Proceedings Paper
EHD printing of PEDOT: PSS inks for fabricating pressure and strain sensor arrays on flexible substratesFormat | Member Price | Non-Member Price |
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Paper Abstract
Robotic skins with multi-modal sensors are necessary to facilitate better human-robotic interaction in non-structured
environments. Integration of various sensors, especially onto substrates with non-uniform topographies, is challenging
using standard semiconductor fabrication techniques. Printing is seen as a technology with great promise that can be
used for sensor fabrication and integration as it may allow direct printing of different sensors onto the same substrate
regardless of topology. In this work, we investigate Electro-Hydro-Dynamic (EHD) printing, a method that allows
printing of micron-sized features with a wide range of materials, for fabricating pressure sensor arrays using Poly(3,4-
ethylenedioxythiophene):Polystyrene Sulfonate (PEDOT:PSS). Fabrication of such sensors has been achieved by prepatterning
gold or platinum metallized interdigitated comb electrode arrays on a polyimide substrate, with three custom
made PEDOT:PSS based inks printed directly onto the electrode arrays. These three inks include a formulation of
PEDOT:PSS and NMP; PEDOT:PSS, PVP, and NMP; and PEDOT:PSS, PVP, Nafion, and NMP. All these inks were
successfully printed onto sensor elements. The initial results of bending-induced strain tests on the fabricated sensors
display that all the inks are sensitive to strain. This confirms their suitability for pressure and strain sensor applications;
however, the behavior of each ink; including sensitivity, linearity, and stability; is unique to the type.
Paper Details
Date Published: 2 June 2015
PDF
Proc. SPIE 9494, Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX, 949403 (2 June 2015); doi: 10.1117/12.2177415
Published in SPIE Proceedings Vol. 9494:
Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX
Misty Blowers; Dan Popa; Muthu B. J. Wijesundara, Editor(s)
Proc. SPIE 9494, Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX, 949403 (2 June 2015); doi: 10.1117/12.2177415
Show Author Affiliations
Caleb Nothnagle, The Univ. of Texas at Arlington Research Institute (United States)
Joshua R. Baptist, The Univ. of Texas at Arlington (United States)
Joe Sanford, The Univ. of Texas at Arlington (United States)
Joshua R. Baptist, The Univ. of Texas at Arlington (United States)
Joe Sanford, The Univ. of Texas at Arlington (United States)
Woo Ho Lee, The Univ. of Texas at Arlington (United States)
Dan O. Popa, The Univ. of Texas at Arlington Research Institute (United States)
The Univ. of Texas at Arlington (United States)
Muthu B. J. Wijesundara, The Univ. of Texas at Arlington Research Institute (United States)
Dan O. Popa, The Univ. of Texas at Arlington Research Institute (United States)
The Univ. of Texas at Arlington (United States)
Muthu B. J. Wijesundara, The Univ. of Texas at Arlington Research Institute (United States)
Published in SPIE Proceedings Vol. 9494:
Next-Generation Robotics II; and Machine Intelligence and Bio-inspired Computation: Theory and Applications IX
Misty Blowers; Dan Popa; Muthu B. J. Wijesundara, Editor(s)
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