4.7 Article

Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment

期刊

ACM TRANSACTIONS ON GRAPHICS
卷 41, 期 4, 页码 -

出版社

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3528223.3530089

关键词

deployable structure; physics-based simulation; numerical optimization; computational design; fabrication

资金

  1. Swiss National Science Foundation [FNS 514543/CF 1156]

向作者/读者索取更多资源

We propose a computational inverse design framework for a new type of volumetric deployable structures that can transform from compact rest states into bending-active 3D target surfaces. Umbrella meshes, consisting of elastic beams, rigid plates, and hinge joints, can be directly printed or assembled without using external energy. We develop a reduced physics-based simulation framework to accurately model the complex interaction between the deforming components. An inverse design optimization algorithm is proposed to determine the mesh topology and optimal shape parameters for approximating a given target surface. Physical models are fabricated to validate the effectiveness of our approach at various scales and using different manufacturing techniques.
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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