Abstract
Foldable shape-changing structures such as origami, deployable, and 4D printed structures have potentials for enhanced packaging, adaptability, and motion capabilities. Distinct geometric features often found in such foldable shape-changing structures include developability and small wall thickness. In this paper, two geometric constraints are introduced to enable the use of density-based topology optimization in designing piecewise developable thin-walled structures. The proposed developability constraint enforces the normal directions of the surfaces of the structures to lie on a prescribed (small) number of input reference planes, which realizes an optimized structure made of piecewise developable surfaces. The proposed thin-wall constraint simultaneously bounds the minimum and the maximum feature sizes in the structures through two PDE-based filtering operations and an aggregation constraint. Several numerical examples demonstrate the effectiveness of the proposed constraints. While the additional constraints inevitably compromise the structural performance, the ability to control the desired geometric features in topology optimization would benefit the rapidly growing field of foldable shape-changing structures.
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Zhou, Y., Nomura, T., Dede, E.M. et al. Topology optimization with wall thickness and piecewise developability constraints for foldable shape-changing structures. Struct Multidisc Optim 65, 118 (2022). https://doi.org/10.1007/s00158-022-03219-8
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DOI: https://doi.org/10.1007/s00158-022-03219-8