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Proceedings Paper

3D printing of highly elastic strain sensors using polyurethane/multiwall carbon nanotube composites
Author(s): Josef F. Christ; Cameron J. Hohimer; Nahal Aliheidari; Amir Ameli; Changki Mo; Petra Pötschke
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Paper Abstract

As the desire for wearable electronics increases and the soft robotics industry advances, the need for novel sensing materials has also increased. Recently, there have been many attempts at producing novel materials, which exhibit piezoresistive behavior. However, one of the major shortcomings in strain sensing technologies is in the fabrication of such sensors. While there is significant research and literature covering the various methods for developing piezoresistive materials, fabricating complex sensor platforms is still a manufacturing challenge.

Here, we report a facile method to fabricate multidirectional embedded strain sensors using additive manufacturing technology. Pure thermoplastic polyurethane (TPU) and TPU/multiwall carbon nanotubes (MWCNT) nanocomposites were 3D printed in tandem using a low-cost multi-material FDM printer to fabricate uniaxial and biaxial strain sensors with conductive paths embedded within the insulative TPU platform. The sensors were then subjected to a series of cyclic strain loads. The results revealed excellent piezoresistive responses of the sensors with cyclic repeatability in both the axial and transverse directions and in response to strains as high as 50%. Further, while strain-softening did occur in the embedded printed strain sensors, it was predictable and similar to the results found in the literature for bulk polymer nanocomposites. This works demonstrates the possibility of manufacturing embedded and multidirectional flexible strain sensors using an inexpensive and versatile method, with potential applications in soft robotics and flexible electronics and health monitoring.

Paper Details

Date Published: 12 April 2017
PDF: 7 pages
Proc. SPIE 10168, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017, 101680E (12 April 2017); doi: 10.1117/12.2259820
Show Author Affiliations
Josef F. Christ, Washington State Univ. Tri-Cities (United States)
Cameron J. Hohimer, Washington State Univ. Tri-Cities (United States)
Nahal Aliheidari, Washington State Univ. Tri-Cities (United States)
Amir Ameli, Washington State Univ. Tri-Cities (United States)
Changki Mo, Washington State Univ. Tri-Cities (United States)
Petra Pötschke, Leibniz-Institut für Polymerforschung Dresden e.V. (Germany)


Published in SPIE Proceedings Vol. 10168:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2017
Jerome P. Lynch, Editor(s)

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