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dc.contributor.authorKu, Jason S
dc.contributor.authorDemaine, Erik D
dc.date.accessioned2017-07-26T18:38:02Z
dc.date.available2017-07-26T18:38:02Z
dc.date.issued2016-03
dc.date.submitted2015-10
dc.identifier.issn1942-4302
dc.identifier.urihttp://hdl.handle.net/1721.1/110859
dc.description.abstractModeling folding surfaces with nonzero thickness is of practical interest for mechanical engineering. There are many existing approaches that account for material thickness in folding applications. We propose a new systematic and broadly applicable algorithm to transform certain flat-foldable crease patterns into new crease patterns with similar folded structure but with a facet-separated folded state. We provide conditions on input crease patterns for the algorithm to produce a thickened crease pattern avoiding local self-intersection, and provide bounds for the maximum thickness that the algorithm can produce for a given input. We demonstrate these results in parameterized numerical simulations and physical models.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Origami Design for Integration of Self-assembling Systems for Engineering Innovation (ODISSEI Grant No. EFRI-1240383))en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (NSF Expedition Grant No. CCF-1138967)en_US
dc.language.isoen_US
dc.publisherAmerican Society of Mechanical Engineers (ASME)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1115/1.4031954en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAmerican Society of Mechanical Engineers (ASME)en_US
dc.titleFolding Flat Crease Patterns With Thick Materialsen_US
dc.typeArticleen_US
dc.identifier.citationKu, Jason S., and Erik D. Demaine. “Folding Flat Crease Patterns With Thick Materials.” Journal of Mechanisms and Robotics 8, no. 3 (March 7, 2016): 031003.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Field Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorKu, Jason S
dc.contributor.mitauthorDemaine, Erik D
dc.relation.journalJournal of Mechanisms and Roboticsen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsKu, Jason S.; Demaine, Erik D.en_US
dspace.embargo.termsNen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-9376-5584
dc.identifier.orcidhttps://orcid.org/0000-0003-3803-5703
mit.licensePUBLISHER_POLICYen_US


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