Modeling a Spectrum of 3D Printed Materials for Soft Robots

Graduate Thesis Or Dissertation

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Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/s4655k29q

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Attribute Name	Values
Creator	Hemleben, Samantha
Abstract	Soft robotics is an emerging field that heavily relies on the ability of 3D printers. The limitations in soft robotics lie in the area of the 3D printers and the predictive models of the printed materials. There are currently no reliable models for optimizing the gradients required to create soft robots. These gradients are necessary to go from soft to hard materials which are used in electronics and soft robotics grips. This is achievable with the soft materials printed by the Stratasys Objet 500 Connex3, which can print a gradient in materials from hard to soft. Here we show the ability to print a homogeneous gradient on the printer, characterize these homogeneous materials, and model the optimized parameters of the nonlinear elastic material model according to techniques based upon Ogden.
License	All rights reserved
Resource Type	Masters Thesis
Date Available	2017-04-04T21:14:45+00:00
Date Issued	2017-03-20
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Robotics
Degree Grantor	Oregon State University
Commencement Year	2017
Advisor	Menguc, Yigit
Committee Member	Grimm, Cindy
Academic Affiliation	Mechanical, Industrial, and Manufacturing Engineering
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Three-dimensional printing Robots -- Materials
Rights Statement	In Copyright
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/60594

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