Simulation of printed-on-fabric assemblies

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

doi:10.1145/3559400.3562001

Cited by 5 publications

(10 citation statements)

References 33 publications

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“…Fig. 7 shows the result of the model by Jourdan et al [JSVB21] when simulating a similar pattern as in Fig. 2.…”

Section: Controlling Curvaturementioning

confidence: 69%

“…The rod‐based model of Jourdan et al [JSVB21] does not account for the width of the plastic ribbons. When attempting to simulate a similar pattern as in Fig.…”

Section: Controlling Curvaturementioning

confidence: 99%

“…Inspired by early experiments in design and architecture [OR07; GC16; BAB20; Kyc19; Fie18], several computational design systems have been proposed to simulate assemblies of plastic curves embedded in elastic membranes [POT17; JSVB21]. Pérez et al [POT17] consider objects composed of a sparse network of curves, resulting in so‐called Kirchhoff‐Plateau surfaces where the membrane behaves like a minimal surface in‐between the curves.…”

Section: Related Workmentioning

confidence: 99%

“…Moreover, since their assemblies are dominated by empty fabric, Pérez et al ignore the forces exerted by the membrane along the curves, where the plastic and fabric form a bilayer structure (see also the introduction for more discussion of this line of work). Jourdan et al [JSVB21] propose a physical model to simulate this structure, allowing them to better reproduce the arched shape taken by individual plastic segments in reaction to the fabric forces underneath. However, they use their model for the forward simulation of specific assemblies of star‐shaped patterns, while we target an inverse design task where we want to automatically find a pattern of plastic ribbons that would reproduce a target shape when fabricated.…”

Section: Related Workmentioning

confidence: 99%

“…Figure 7: The rod-based model of Jourdan et al[JSVB21] does not account for the width of the plastic ribbons. When attempting to simulate a similar pattern as in Fig.2, the surface bends properly along the ribbons due to the bilayer effect (a), but it contracts uniformly in the direction transverse to the ribbons, despite the varying density of plastic along the interior and exterior boundary (b).…”

mentioning

confidence: 99%

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

Jourdan

Skouras

Vouga

et al. 2022

Computer Graphics Forum

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a) Target surface (b) Ribbon layout (c) Deployed surface Figure 1: Given a target 3D surface (a), our method computes a flat layout of plastic ribbons (b) which, when printed on pre-stretched fabric, causes the surface to deploy into 3D when the fabric is released (c). We designed a custom frame to easily print ribbons on both sides of the fabric (b, red and blue), allowing us to reproduce surfaces with positive and negative extrinsic curvature.

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“…Fig. 7 shows the result of the model by Jourdan et al [JSVB21] when simulating a similar pattern as in Fig. 2.…”

Section: Controlling Curvaturementioning

confidence: 69%

“…The rod‐based model of Jourdan et al [JSVB21] does not account for the width of the plastic ribbons. When attempting to simulate a similar pattern as in Fig.…”

Section: Controlling Curvaturementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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

Jourdan

Skouras

Vouga

et al. 2022

Computer Graphics Forum

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Umbrella meshes

et al. 2022

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We present a computational inverse design framework for a new class of volumetric deployable structures that have compact rest states and deploy into bending-active 3D target surfaces. Umbrella meshes consist of elastic beams, rigid plates, and hinge joints that can be directly printed or assembled in a zero-energy fabrication state. During deployment, as the elastic beams of varying heights rotate from vertical to horizontal configurations, the entire structure transforms from a compact block into a target curved surface. Umbrella Meshes encode both intrinsic and extrinsic curvature of the target surface and in principle are free from the area expansion ratio bounds of past auxetic material systems. We build a reduced physics-based simulation framework to accurately and efficiently model the complex interaction between the elastically deforming components. To determine the mesh topology and optimal shape parameters for approximating a given target surface, we propose an inverse design optimization algorithm initialized with conformal flattening. Our algorithm minimizes the structure's strain energy in its deployed state and optimizes actuation forces so that the final deployed structure is in stable equilibrium close to the desired surface with few or no external constraints. We validate our approach by fabricating a series of physical models at various scales using different manufacturing techniques.

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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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Simulation of printed-on-fabric assemblies

Cited by 5 publications

References 33 publications

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

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

Umbrella meshes

Differentiable Stripe Patterns for Inverse Design of Structured Surfaces

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