Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Supporting data for "3D printed electrically-driven soft actuators"

Loading...
Thumbnail Image
Statistics
View Statistics

Collection period

2015-10-01
2017-12-01

Date completed

2017-12-01

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Supporting data for "3D printed electrically-driven soft actuators"

Published Date

2020-06-09

Author Contact

McAlpine, Michael C
mcalpine@umn.edu

Type

Dataset
Experimental Data
Programming Software Code

Abstract

Soft robotics is an emerging field enabled by advances in the development of soft materials with properties commensurate to their biological counterparts, for the purpose of reproducing locomotion and other distinctive capabilities of active biological organisms. The development of soft actuators is fundamental to the advancement of soft robots and bio-inspired machines. Among the different material systems incorporated in the fabrication of soft devices, ionic hydrogel–elastomer hybrids have recently attracted vast attention due to their favorable characteristics, including their analogy with human skin. Here, we demonstrate that this hybrid material system can be 3D printed as a soft dielectric elastomer actuator (DEA) with a unimorph configuration that is capable of generating high bending motion in response to an applied electrical stimulus. We characterized the device actuation performance via applied (i) ramp-up electrical input, (ii) cyclic electrical loading, and (iii) payload masses. A maximum vertical tip displacement of 9.78 ± 2.52 mm at 5.44 kV was achieved from the tested 3D printed DEAs. Furthermore, the nonlinear actuation behavior of the unimorph DEA was successfully modeled using an analytical energetic formulation and a finite element method (FEM).

Description

The data set includes the experimental data and the corresponding code files for 3D printed electrically-driven soft actuators.

Referenced by

https://doi.org/10.1016/j.eml.2018.02.002
Haghiashtiani, G., Habtour, E., Park, S. H., Gardea, F., & McAlpine, M. C. “3D printed electrically-driven soft actuators”. Extreme Mechanics Letters 21 (2018): 1-8.

Related to

Replaces

item.page.isreplacedby

Publisher

Funding information

U.S. Army Research Office under Award No. W911NF-15-1-0469
National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health, Award Number 1DP2EB020537
The graduate school of the University of Minnesota, 2017–18 Interdisciplinary Doctoral Fellowship

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Haghiashtiani, Ghazaleh; Habtour, Ed; Park, Sung-Hyun; Gardea, Frank; McAlpine, Michael C. (2020). Supporting data for "3D printed electrically-driven soft actuators". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/52fm-kj52.

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.