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Origami Inspired Self-assembly of Patterned and Reconfigurable Particles
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Programming curvature using origami tessellations.

Levi H Dudte1, Etienne Vouga1, Tomohiro Tachi2

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Researchers developed a method using geometric constructions and optimization to design origami patterns for complex surfaces. This approach allows tailoring folded structures to specific shapes, considering accuracy and folding effort.

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Area of Science:

  • Computational geometry
  • Materials science
  • Origami engineering

Background:

  • Origami principles govern folding flat sheets into structures but lack methods for designing patterns for specific target shapes.
  • Existing origami design methods do not prescribe how to generate patterns for arbitrary surfaces.

Purpose of the Study:

  • To develop a computational method for designing origami patterns that approximate given target surfaces.
  • To assess the energetic cost and folding effort associated with the designed origami structures.

Main Methods:

  • Utilized scale-independent geometric constructions and constrained optimization algorithms.
  • Applied these methods to derive spatially modulated patterns for surfaces of constant and varying curvature.
  • Quantified the energetic barrier between flat and folded states to assess folding difficulty.

Main Results:

  • Demonstrated the feasibility of designing origami patterns for target surfaces using computational methods.
  • Paper models confirmed the practical realization of calculated patterns.
  • Characterized the trade-off between pattern accuracy and the effort required for folding.

Conclusions:

  • The developed approach enables the tailoring of origami patterns to drape complex surfaces irrespective of scale.
  • Provides a quantitative measure of the energetic and material costs associated with creating complex folded structures.