Computational design of planar multistable compliant structures

Zhang R, Auzinger T, Bickel B. 2021. Computational design of planar multistable compliant structures. ACM Transactions on Graphics. 40(5), 186.

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Journal Article | Published | English

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Abstract
This paper presents a method for designing planar multistable compliant structures. Given a sequence of desired stable states and the corresponding poses of the structure, we identify the topology and geometric realization of a mechanism—consisting of bars and joints—that is able to physically reproduce the desired multistable behavior. In order to solve this problem efficiently, we build on insights from minimally rigid graph theory to identify simple but effective topologies for the mechanism. We then optimize its geometric parameters, such as joint positions and bar lengths, to obtain correct transitions between the given poses. Simultaneously, we ensure adequate stability of each pose based on an effective approximate error metric related to the elastic energy Hessian of the bars in the mechanism. As demonstrated by our results, we obtain functional multistable mechanisms of manageable complexity that can be fabricated using 3D printing. Further, we evaluated the effectiveness of our method on a large number of examples in the simulation and fabricated several physical prototypes.
Publishing Year
Date Published
2021-10-08
Journal Title
ACM Transactions on Graphics
Publisher
Association for Computing Machinery
Acknowledgement
We would like to thank everyone who contributed to this paper, the authors of artworks for all the examples, including @macrovec-tor_official and Wikimedia for the FLAG semaphore, and @pikisuper-star for the FIGURINE. The photos of iconic poses in the teaser were supplied by (from left to right): Mike Hewitt/Olympics Day 8 - Athletics/Gettty Images, Oneinchpunch/Basketball player training on acourt in New york city/Shutterstock, and Andrew Redington/TigerWoods/Getty Images. We also want to express our gratitude to Christian Hafner for insightful discussions, the IST Austria machine shop SSU, all proof-readers, and anonymous reviewers. This project has received funding from the European Union’s Horizon 2020 research and innovation programme, under the Marie Skłodowska-Curie grant agreement No 642841 (DISTRO), and under the European Research Council grant agreement No 715767 (MATERIALIZABLE).
Acknowledged SSUs
Volume
40
Issue
5
Article Number
186
ISSN
eISSN
IST-REx-ID

Cite this

Zhang R, Auzinger T, Bickel B. Computational design of planar multistable compliant structures. ACM Transactions on Graphics. 2021;40(5). doi:10.1145/3453477
Zhang, R., Auzinger, T., & Bickel, B. (2021). Computational design of planar multistable compliant structures. ACM Transactions on Graphics. Association for Computing Machinery. https://doi.org/10.1145/3453477
Zhang, Ran, Thomas Auzinger, and Bernd Bickel. “Computational Design of Planar Multistable Compliant Structures.” ACM Transactions on Graphics. Association for Computing Machinery, 2021. https://doi.org/10.1145/3453477.
R. Zhang, T. Auzinger, and B. Bickel, “Computational design of planar multistable compliant structures,” ACM Transactions on Graphics, vol. 40, no. 5. Association for Computing Machinery, 2021.
Zhang R, Auzinger T, Bickel B. 2021. Computational design of planar multistable compliant structures. ACM Transactions on Graphics. 40(5), 186.
Zhang, Ran, et al. “Computational Design of Planar Multistable Compliant Structures.” ACM Transactions on Graphics, vol. 40, no. 5, 186, Association for Computing Machinery, 2021, doi:10.1145/3453477.
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Creative Commons Attribution 4.0 International Public License (CC-BY 4.0):
Main File(s)
Access Level
OA Open Access
Date Uploaded
2021-05-08
MD5 Checksum
8564b3118457d4c8939a8ef2b1a2f16c
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Access Level
OA Open Access
Date Uploaded
2021-05-08
MD5 Checksum
3b6e874e30bfa1bfc3ad3498710145a1

Supplementary Material
File Title
Supplementary Material for “Computational Design of Planar Multistable Compliant Structures”
Description
This document provides additional results and analyzes the robustness and limitations of our approach.
Access Level
OA Open Access
Date Uploaded
2021-12-17
MD5 Checksum
20dc3bc42e1a912a5b0247c116772098

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