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DTSTAMP:20260114T163631Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_721@linklings.com
SUMMARY:Shrink & Morph: 3D-printed self-shaping shells actuated by a shape
  memory effect
DESCRIPTION:David Jourdan (INRIA Nancy - Grand Est, LORIA); Camille Schrec
 k (Inria); and Pierre-Alexandre Hugron, Jonas Martinez, and Sylvain Lefebv
 re (INRIA)\n\nWhile 3D printing enables the customization and home fabrica
 tion of a wide range of shapes, fabricating freeform thin-shells remains c
 hallenging. As layers misalign with the curvature, they incur structural d
 eficiencies, while the curved shells require large support structures, typ
 ically using more material than the part itself.\n\nWe propose a computati
 onal framework for optimizing the internal structure of 3D printed plates 
 such that they morph into a desired freeform shell when heated. This explo
 its the shrinkage effect of thermoplastics such as PLA, which stores inter
 nal stresses along the deposition directions. These stresses get released 
 when the material is heated again above its glass transition temperature, 
 causing anisotropic shrinkage that induces curvature.\n\nOur inverse desig
 n method takes as input a freeform surface and finds an optimized set of d
 eposition trajectories in each layer such that their anisotropic shrinkage
  deforms the plate into the prescribed surface geometry. We optimize for a
  continuous vector field that varies across the plate and within its thick
 ness. This lets us obtain both developable and doubly-curved surfaces. The
  algorithm then extracts a set of deposition paths from the vector field i
 n order to fabricate the flat plates on standard FFF printers. We validate
  our algorithm on freeform surfaces with non-trivial curvatures and topolo
 gies.\n\nRegistration Category: Full Access, Enhanced Access, Trade Exhibi
 tor, Experience Hall Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_721&sess=sess209
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