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Discovering Origami Fold Patterns With Optimal Actuation Through Nonlinear Mechanics Analysis

[+] Author Affiliations
Andrew Gillman, Giorgio Bazzan

UES, Inc., Beavercreek, OH

Kazuko Fuchi

University of Dayton Research Institute, Dayton, OH

Edward J. Alyanak, Philip R. Buskohl

Air Force Research Laboratory, Wright-Patterson AFB, OH

Paper No. DETC2017-67927, pp. V05BT08A052; 9 pages
doi:10.1115/DETC2017-67927
From:
  • ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5B: 41st Mechanisms and Robotics Conference
  • Cleveland, Ohio, USA, August 6–9, 2017
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5818-9
  • Copyright © 2017 by ASME

abstract

The ability of origami fold patterns to transform two-dimensional sheets into complex three-dimensional structures provides utility for design and development of multifunctional devices. Recently, a topology optimization framework has been developed to discover fold patterns that realize optimal performance including mechanical actuation. This work incorporates an efficient nonlinear mechanics model into the topology optimization framework that accurately captures the geometric non-linearities associated with large rotations of origami facets. A nonlinear truss model, with accommodation for fold stiffness and large rotations, is implemented in both gradient and non-gradient optimization algorithms in this study. The ability of this framework to discover fold topology maximizing actuation motion is verified for the well known “Chomper” and “Square Twist” patterns. In particular, the performance of various optimization algorithms is discussed, and genetic algorithms consistently yield solutions with better performance.

Copyright © 2017 by ASME

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