Wilkinson, NJ orcid.org/0000-0003-1506-9900, Lukic-Mann, M, Shuttleworth, MP orcid.org/0000-0002-0538-6438
et al. (2 more authors)
(2019)
Aerosol Jet Printing for the Manufacture of Soft Robotic Devices.
In:
2019 2nd IEEE International Conference on Soft Robotics (RoboSoft).
Robosoft 2019, 14-18 Apr 2019, Seoul, South Korea.
IEEE
, pp. 496-501.
ISBN 978-1-5386-9259-2
Abstract
Soft robotics is a fast growing field of engineering where there are significant opportunities to realize new forms of actuation and sensing. However, there is also a challenge to translate some of the lab-based developments into a robust industrial manufacturing process. Linked to this is also the opportunity to create new forms of functionality in soft robotic devices by employing a flexible, digital manufacturing process for their creation. Overcoming these hurdles, and unlocking the possibilities for greater functionality, is likely to be a key enabler for wider applications and adoption of soft robotics in practical applications. We present a system of computer-controlled Aerosol Jet Printing that will enable complex soft robotic structures to be manufactured. The process is demonstrated through the deposition of a carbon-based conductive ink on to elastomeric substrates for high resolution, conformal and multilayer patterning. Functional demonstrators, in the form of a dielectric elastomer actuator and strain sensor, are produced to showcase the potential of the technique.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 IEEE. This is an author produced version of a paper accepted for publication in 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft). Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Future Manufacturing Processes (Leeds) |
Funding Information: | Funder Grant number EPSRC EP/L02067X/2 EPSRC EP/M026388/1 |
Depositing User: | Symplectic Publications |
Date Deposited: | 17 May 2019 15:56 |
Last Modified: | 29 Jun 2019 18:44 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/ROBOSOFT.2019.8722766 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146148 |