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DTSTAMP:20240214T070242Z
LOCATION:Meeting Room C4.9+C4.10\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T161000
DTEND;TZID=Australia/Melbourne:20231212T162500
UID:siggraphasia_SIGGRAPH Asia 2023_sess161_papers_721@linklings.com
SUMMARY:Shrink & Morph: 3D-printed self-shaping shells actuated by a shape
  memory effect
DESCRIPTION:Technical Papers\n\nDavid Jourdan (INRIA Nancy - Grand Est, LO
 RIA); Camille Schreck (Inria); and Pierre-Alexandre Hugron, Jonas Martinez
 , and Sylvain Lefebvre (INRIA)\n\nWhile 3D printing enables the customizat
 ion and home fabrication of a wide range of shapes, fabricating freeform t
 hin-shells remains challenging. As layers misalign with the curvature, the
 y incur structural deficiencies, while the curved shells require large sup
 port structures, typically using more material than the part itself.\n\nWe
  propose a computational framework for optimizing the internal structure o
 f 3D printed plates such that they morph into a desired freeform shell whe
 n heated. This exploits the shrinkage effect of thermoplastics such as PLA
 , which stores internal stresses along the deposition directions. These st
 resses get released when the material is heated again above its glass tran
 sition temperature, causing anisotropic shrinkage that induces curvature.\
 n\nOur inverse design method takes as input a freeform surface and finds a
 n optimized set of deposition trajectories in each layer such that their a
 nisotropic shrinkage deforms the plate into the prescribed surface geometr
 y. We optimize for a continuous vector field that varies across the plate 
 and within its thickness. This lets us obtain both developable and doubly-
 curved surfaces. The algorithm then extracts a set of deposition paths fro
 m the vector field in order to fabricate the flat plates on standard FFF p
 rinters. We validate our algorithm on freeform surfaces with non-trivial c
 urvatures and topologies.\n\nRegistration Category: Full Access\n\nSession
  Chair: J. Andreas Bærentzen (Technical University of Denmark)
URL:https://asia.siggraph.org/2023/full-program?id=papers_721&sess=sess161
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