Computational Design of Self‐Actuated Surfaces by Printing Plastic Ribbons on Stretched Fabric

Jourdan, David; Skouras, Mélina; Vouga, Etienne; Bousseau, Adrien

doi:10.1111/cgf.14489

Cited by 13 publications

(17 citation statements)

References 59 publications

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“…12). We tested our model on patterns of locally-parallel strips, as proposed by Jourdan et al [2022]. Yet, our model is generic and should also work for other patterns demonstrated in prior work, such as tilings of 3-pointed stars [Jourdan et al 2020], curve networks [Pérez et al 2017], or tilings of hexagons [Fields 2018].…”

Section: Discussionmentioning

confidence: 99%

“…12 shows that our simulator effectively achieves a toric shape, while the simulator of Jourdan et al [2020] under-estimates the curvature of the torus as it does not account for how the fabric contracts by a different amount transversely to the strips depending on strip density. While we used a procedural radial pattern for this experiment, Figure 1 demonstrates successful simulation of a pattern computed with the inverse-design method of Jourdan et al [2022], achieving a good prediction of the shape obtained when printing the same pattern. Figure 13 provides additional visual comparisons between our simulations and fabricated assemblies obtained with patterns from Jourdan et al [2022].…”

Section: Validationmentioning

confidence: 95%

“…While we used a procedural radial pattern for this experiment, Figure 1 demonstrates successful simulation of a pattern computed with the inverse-design method of Jourdan et al [2022], achieving a good prediction of the shape obtained when printing the same pattern. Figure 13 provides additional visual comparisons between our simulations and fabricated assemblies obtained with patterns from Jourdan et al [2022].…”

Section: Validationmentioning

confidence: 95%

“…We next evaluate the ability of our simulator to account for the interactions between fabric and plastic in the presence of multiple strips. We focus on the same pattern of staggered parallel strips as used by Jourdan et al [2022], which yield cylindrical surfaces as the assembly rolls on itself when released (Fig. 9a,b).…”

Section: Validationmentioning

confidence: 99%

“…As noted by Jourdan et al [2022], two physical phenomena contribute to the emergence of curvature in printing-on-fabric assemblies. First, the presence of incompressible plastic embedded into the fabric prevents the fabric to contract uniformly when plastic density varies over the surface.…”

Section: Introductionmentioning

confidence: 96%

See 4 more Smart Citations

Simulation of printed-on-fabric assemblies

Jourdan

Romero

Vouga

et al. 2022

Proceedings of the 7th Annual ACM Symposium on Computational Fabrication

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a) Input pattern (b) Simulated shape (c) Fabricated shapeFigure 1: Printing-on-fabric consists in depositing strips of plastic over a pre-stretched piece of fabric. On release, the forces exerted by the fabric make the overall structure buckle into a 3D shape. Our simulator predicts the 3D shape adopted by a given pattern of plastic strips by accounting for the physical properties of the fabric and its interactions with the plastic layer.Starting with this radial pattern to be printed on pre-stretched fabric (a), our simulator produces a toric shape (b) that closely matches the fabricated result (c).

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Section: Discussionmentioning

confidence: 99%

Section: Validationmentioning

confidence: 95%

Section: Validationmentioning

confidence: 95%

Section: Validationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

See 3 more Smart Citations

Simulation of printed-on-fabric assemblies

Jourdan

Romero

Vouga

et al. 2022

Proceedings of the 7th Annual ACM Symposium on Computational Fabrication

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Curved surface form-finding with self-shaping perforated plates

Bahremandi-Tolou,

Wang,

Gattas

et al. 2024

ARIN

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Self-shaping systems offer a promising approach for making complex 3D geometries from the material-driven transformation of 2D sheets. However, current research development of such systems is focused on small-scale applications. This study proposes a self-shaping composite for generation of larger-scale curved surfaces suitable for spatial structures. The composite arises from the novel combination of a perforated plate passive layer and a heat-shrinkable active layer. Experimental investigations are undertaken to assess the influence of perforation parameters of the passive layer over the degree of curvature generated in the self-shaping composite system. A 3D scanner and parametric curvature evaluation tool were used to extract and analyse the fabricated surface curvatures. Three key deformation characteristics were identified: the generated surface is cylindrical with dominant curvature in the x-direction; curvature is approximately uniform across the surface width and length; and curvature is strongly influenced by perforation bridge and strap length parameters. Results of this study support the application of self-shaping curved surfaces for customizable discrete structure parts.

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Differentiable Stripe Patterns for Inverse Design of Structured Surfaces

Maestre

Hinchet

et al. 2023

ACM Trans. Graph.

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Stripe patterns are ubiquitous in nature and everyday life. While the synthesis of these patterns has been thoroughly studied in the literature, their potential to control the mechanics of structured materials remains largely unexplored. In this work, we introduce Differentiable Stripe Patterns---a computational approach for automated design of physical surfaces structured with stripe-shaped bi-material distributions. Our method builds on the work by Knöppel and colleagues [2015] for generating globally-continuous and equally-spaced stripe patterns. To unlock the full potential of this design space, we propose a gradient-based optimization tool to automatically compute stripe patterns that best approximate macromechanical performance goals. Specifically, we propose a computational model that combines solid shell finite elements with XFEM for accurate and fully-differentiable modeling of elastic bi-material surfaces. To resolve non-uniqueness problems in the original method, we furthermore propose a robust formulation that yields unique and differentiable stripe patterns. We combine these components with equilibrium state derivatives into an end-to-end differentiable pipeline that enables inverse design of mechanical stripe patterns. We demonstrate our method on a diverse set of examples that illustrate the potential of stripe patterns as a design space for structured materials. Our simulation results are experimentally validated on physical prototypes.

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Computational Design of Self‐Actuated Surfaces by Printing Plastic Ribbons on Stretched Fabric

Cited by 13 publications

References 59 publications

Simulation of printed-on-fabric assemblies

Simulation of printed-on-fabric assemblies

Curved surface form-finding with self-shaping perforated plates

Differentiable Stripe Patterns for Inverse Design of Structured Surfaces

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