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Computational design of self-shaping textiles

Authors
  • Jourdan, David
Publication Date
Mar 29, 2022
Source
HAL-Descartes
Keywords
Language
English
License
Unknown
External links

Abstract

Printing-on-fabric is a recent manufacturing technique which consists in extruding molten plastic into pre-stretched fabric using standard additive manufacturing technologies. Printing-on-fabric recently gained popularity as a low-cost fabrication technique for designing deployable structures which can pop out of shape when the fabric is released. The complex morphing behavior of this composite material can be explained by metric frustration phenomena which are described in this thesis. We leverage these phenomena to build several applications aiding the design of self-actuated, lightweight structures.We first present a (forward) design tool for fabricating lightweight architectural models based on a tiling of star patterns, with the dimensions (and hence physical properties) of the individual pattern elements varying over space. Users of this system design free-form shapes by adjusting the star pattern; our system then automatically simulates the complex physical coupling between the fabric and stars to translate the design edits into shape variations.We then extend the form-finding tool to a general-purpose simulation method that can predict the buckling behavior of a variety of printed-on-fabric designs besides star tilings. We show the importance of modelling the bilayer effect caused by the differential compression at the interface between the plastic and fabric layers, as well as the anisotropic properties of the fabric.Finally, an inverse design tool that is able to reproduce target shapes with printing-on-fabric using a dense pattern of closely-spaced ribbons is introduced. The core of this method is a parameterization algorithm that bounds surface distortions along and across principal curvature directions, along with a pattern synthesis algorithm that covers a surface with ribbons to match the target distortions and curvature given by the aforementioned parameterization.

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