This readme.txt file was generated on <20200607> by ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset Supporting data for "3D printed electrically-driven soft actuators" 2. Author Information Principal Investigator Contact Information Name: Michael C. McAlpine Institution: University of Minnesota Address: Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA Email: mcalpine@umn.edu ORCID: 0000-0001-7869-7598 Associate or Co-investigator Contact Information Name: Ghazaleh Haghiashtiani Institution: University of Minnesota Address: Department of Mechanical Engineering, University of Minnesota, Minneapolis, MN 55455, USA Email: haghi004@umn.edu ORCID: 0000-0002-5939-5321 Associate or Co-investigator Contact Information Name: Ed Habtour Institution: Sandia National Laboratories Address: Sandia National Laboratories, Albuquerque, NM, USA Email: ed.habtour@gmail.com ORCID: 0000-0002-9083-9285 Associate or Co-investigator Contact Information Name: Sung Hyun Park Institution: Korea Institute of Industrial Technology Address: 89, Yangdaegiro-gil, Ipjang-myeon, Seobuk-gu, Cheonan-si Chungcheongnam-do 31056 Republic of Korea Email: sungpark@kitech.re.kr ORCID: 0000-0002-0784-8026 Associate or Co-investigator Contact Information Name: Frank Gardea Institution: U.S. Army Research Laboratory Address: Army Research Laboratory, Vehicle Technology Directorate, Aberdeen Proving Ground, Aberdeen, MD, USA Email: frank.gardea4.civ@mail.mil ORCID: 0000-0002-7186-0433 3. Date of data collection Approximate date: 20151001-20171201 4. Geographic location of data collection University of Minnesota, Minneapolis, MN U.S. Army Research Laboratory, Aberdeen Proving Ground, MD 5. Information about funding sources that supported the collection of the data: 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 under Award Number 1DP2EB020537 The graduate school of the University of Minnesota, 2017–18 Interdisciplinary Doctoral Fellowship -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: Creative Commons Attribution-NonCommercial 3.0 United States 2. Links to publications that cite or use the data: 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. DOI: https://doi.org/10.1016/j.eml.2018.02.002 https://www.sciencedirect.com/science/article/pii/S2352431618300117 3. Links to other publicly accessible locations of the data: NA 4. Links/relationships to ancillary data sets: NA 5. Was data derived from another source? No 6. Recommended citation for the data: Haghiashtiani, G., Habtour, E. Park, S. H., Gardea, F., and McAlpine, M. C. (2020). Supporting data for "3D printed electrically-driven soft actuators", Retrieved from the Data Repository for the University of Minnesota. --------------------- DATA & FILE OVERVIEW --------------------- 1. File List A. Filename: Figure 2.zip Short description: Raw data files for Figures 2A-D. B. Filename: Figure 3.zip Short description: Raw data files for Figures 3B-D. C. Filename: Figure 4.zip Short description: Raw data files for Figure 4B. D. Filename: SI Figures.zip Short description: Raw data files for Figures S4 and S5. E. Filename: Code for Analytical Model.zip Short description: Matlab codes for analytical modeling of the dielectric elastomer actuator. originally written in an older version of Matlab (2016,2017) but does run with Matlab R2019a. After unzipping the folder, the “DEA_Model.m” file should be used to run the code. The other .m files are functions which are called within the DEA_Model.m. The Optimization toolbox addon is required to run the code error free. 2. Relationship between files: The files represent the data that were used in the plots of the original article, including material characterization, experimental and modeling data on device performance, and the Matlab code for analytical modeling. 3. Are there multiple versions of the dataset? No