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Geometric modeling and structural design optimization of the cyclic Miura-ori. Geometric modeling and structural design optimization of the cyclic Miura-ori.

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Presentation on theme: "Geometric modeling and structural design optimization of the cyclic Miura-ori. Geometric modeling and structural design optimization of the cyclic Miura-ori."— Presentation transcript:

1 Geometric modeling and structural design optimization of the cyclic Miura-ori.
Geometric modeling and structural design optimization of the cyclic Miura-ori. (A) Half of a typical cyclic descendant of the Miura fold pattern and its geometric parameters: n, number of radial segments (s1 to sn); α, pattern angle; r, inner radius; m, number of concentric layers (l1 to lm); w̅ = we/wu, normalized width of external facets, where we is the external facets width and wu is the unchanged facets width for the pattern sequence. Mountain and valley folds are represented by solid and dashed lines, respectively. (B) A ring-shaped solid (mathematically speaking, a cylindrical annulus) fitting around an example model. (C) Sixteen origami rings and output data from quasi-static FEA simulations on models with varying parameters α and n, whereas w̅ = 1. As the number of radial segments on the pattern is increased, so is the stiffness of the structure. However, this also has the effect of shortening the time during which the structure is stable under compression before it slips out of plane. (D) Reaction force versus displacement curve for the selected design (illustrated on the left part of the figure) and its gradient, which is a measure of the stiffness of the structure. The simulation setup is depicted on the bottom part of the panel. (E) Front and side views of the FEA simulation for the compression of the selected structure. Pooya Sareh et al. Sci. Robotics 2018;3:eaah5228 Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works


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