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Integrating interactive design and simulation for mass customized 3D-printed objects - a cup holder example

 
: Altenhofen, Christian; Loosmann, Felix; Mueller-Roemer, Johannes; Grasser, Tim; Luu, Thu Huong; Stork, André

:
Volltext urn:nbn:de:0011-n-4776958 (4.1 MByte PDF)
MD5 Fingerprint: 3a1868bd993e3b2d5560028754a9bf1e
Erstellt am: 10.10.2018


Univ. of Texas, Austin:
28th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference 2017. Online resource : University of Texas, Austin, August 7-9, 2017
Austin/Tex., 2017
http://sffsymposium.engr.utexas.edu/TOC2017
S.2289-2301
Annual International Solid Freeform Fabrication Symposium (SFF) <28, 2017, Austin/Tex.>
European Commission EC
H2020; 680448; CAxMan
Computer Aided Technologies for Additive Manufacturing
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IGD ()
subdivision; 3D modeling; FEM simulation; GPU-based simulation; 3D printing; customization; Guiding Theme: Digitized Work; Guiding Theme: Visual Computing as a Service; Research Area: Computer graphics (CG); Research Area: (Interactive) simulation (SIM); Research Area: Modeling (MOD)

Abstract
We present an approach for integrating interactive design and simulation for customizing parameterized 3D models. Instead of manipulating the mesh directly, a simplified interface for casual users allows for adapting intuitive parameters, such as handle diameter or height of our example object - a cup holder. The transition between modeling and simulation is performed with a volumetric subdivision representation, allowing direct adaption of the simulation mesh without re-meshing. Our GPU-based FEM solver calculates deformation and stresses for the current parameter configuration within seconds with a pre-defined load case. If the physical constraints are met, our system allows the user to 3D print the object. Otherwise, it provides guidance which parameters to change to optimize stability while adding as little material as possible based on a finite differences optimization approach. The speed of our GPU-solver and the fluent transition between design and simulation renders the system interactive, requiring no pre-computation.

: http://publica.fraunhofer.de/dokumente/N-477695.html