Data-Driven Bending Elasticity Design by Shell Thickness

We present a method to design the deformation behavior of 3D printed models by an interactive tool, where the variation of bending elasticity at different regions of a model is realized by a change in shell thickness. Given a soft material to be used in 3D printing, we propose an experimental setup...

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Bibliographic Details
Published in:Computer graphics forum Vol. 35; no. 5; pp. 157 - 166
Main Authors: Zhang, Xiaoting, Le, Xinyi, Wu, Zihao, Whiting, Emily, Wang, Charlie C.L.
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.08.2016
Subjects:
3-D graphics
3-D printers
3D printing
Analysis
Bending
Categories and Subject Descriptors (according to ACM CCS)
Computer graphics
Deformation
Elasticity
I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling-Physically based modeling
Interactive
J.6 [Computer-Aided Engineering]: Computer-aided design (CAD)
Networks
Shells
Studies
Tubes
ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:We present a method to design the deformation behavior of 3D printed models by an interactive tool, where the variation of bending elasticity at different regions of a model is realized by a change in shell thickness. Given a soft material to be used in 3D printing, we propose an experimental setup to acquire the bending behavior of this material on tubes with different diameters and thicknesses. The relationship between shell thickness and bending elasticity is stored in an echo state network using the acquired dataset. With the help of the network, an interactive design tool is developed to generate non‐uniformly hollowed models to achieve desired bending behaviors. The effectiveness of this method is verified on models fabricated by different 3D printers by studying whether their physical deformation can match the designed target shape.
Bibliography:istex:6D55368EA0F8BBA2694FC5259EBCDF01B332BBC2
ArticleID:CGF12972
Supporting Information
ark:/67375/WNG-4F7SV2TP-4
joint first author
SourceType-Scholarly Journals-1
ObjectType-Feature-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12972