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Inverse Design of LCN Films for Origami Applications Using Topology Optimization

[+] Author Affiliations
Kazuko Fuchi

Aerospace Systems Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OHUniversal Technology Corporation, Dayton, OH

Philip R. Buskohl

Material and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OHUES, Inc., Dayton, OH

Taylor Ware

Material and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OHAzimuth Corporation, Dayton, OH

Richard A. Vaia, Timothy J. White

Material and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH

Gregory W. Reich, James J. Joo

Aerospace Systems Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH

Paper No. SMASIS2014-7497, pp. V001T01A011; 7 pages
doi:10.1115/SMASIS2014-7497
From:
  • ASME 2014 Conference on Smart Materials, Adaptive Structures and Intelligent Systems
  • Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring; Keynote Presentation
  • Newport, Rhode Island, USA, September 8–10, 2014
  • Conference Sponsors: Aerospace Division
  • ISBN: 978-0-7918-4614-8
  • Copyright © 2014 by ASME

abstract

Liquid crystal polymer networks (LCNs) have unique advantages as potential constituents of origami-based smart materials due to their reversible actuations and availability of fabrication techniques to create complex strain fields. Although identifying functional designs is crucial in making use of this technology, conventional approaches have largely consisted of trial-and-error experimentation. We introduce an inverse design procedure based on a topology optimization method to map out an LCN pattern with a desired spontaneous strain field to achieve prescribed shapes. In this study, we focus on a target deformation of a film to create an improved hinge to be integrated into an origami structure. Our preliminary results indicate the potential of using computational tools to determine what designs yield desired functionalities and how to best pattern LCN films to achieve them.

Copyright © 2014 by ASME

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