Elastic textures for additive fabrication

Panetta, J; Zhou, Q; Malomo, L; Pietroni, N; Cignoni, P; Zorin, D

Elastic textures for additive fabrication

Panetta, J Zhou, Q Malomo, L Pietroni, N

Cignoni, P Zorin, D

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Publisher:: ACM
Publication Type:: Journal Article
Citation:: ACM Transactions on Graphics (TOG), 2015, 34, (4), pp. 135-135
Issue Date:: 2015

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Field	Value	Language
dc.contributor.author	Panetta, J
dc.contributor.author	Zhou, Q
dc.contributor.author	Malomo, L
dc.contributor.author	Pietroni, N https://orcid.org/0000-0002-8271-2102
dc.contributor.author	Cignoni, P
dc.contributor.author	Zorin, D
dc.date.accessioned	2023-03-17T03:48:09Z
dc.date.available	2023-03-17T03:48:09Z
dc.date.issued	2015
dc.identifier.citation	ACM Transactions on Graphics (TOG), 2015, 34, (4), pp. 135-135
dc.identifier.isbn	9781450333313
dc.identifier.issn	0730-0301
dc.identifier.issn	1557-7368
dc.identifier.uri	http://hdl.handle.net/10453/167436
dc.description.abstract	We introduce elastic textures: a set of parametric, tileable, printable, cubic patterns achieving a broad range of isotropic elastic material properties: the softest pattern is over a thousand times softer than the stiffest, and the Poisson's ratios range from below zero to nearly 0.5. Using a combinatorial search over topologies followed by shape optimization, we explore a wide space of truss-like, symmetric 3D patterns to obtain a small family. This pattern family can be printed without internal support structure on a single-material 3D printer and can be used to fabricate objects with prescribed mechanical behavior. The family can be extended easily to create anisotropic patterns with target orthotropic properties. We demonstrate that our elastic textures are able to achieve a user-supplied varying material property distribution. We also present a material optimization algorithm to choose material properties at each point within an object to best fit a target deformation under a prescribed scenario. We show that, by fabricating these spatially varying materials with elastic textures, the desired behavior is achieved. Copyright is held by the owner/author(s).
dc.language	English
dc.publisher	ACM
dc.relation.ispartof	ACM Transactions on Graphics (TOG)
dc.relation.isbasedon	10.1145/2766937
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0801 Artificial Intelligence and Image Processing, 0806 Information Systems
dc.subject.classification	Software Engineering
dc.title	Elastic textures for additive fabrication
dc.type	Journal Article
utslib.citation.volume	34
utslib.location.activity	Los Angeles, CA
utslib.for	0801 Artificial Intelligence and Image Processing
utslib.for	0806 Information Systems
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	closed_access	*
dc.date.updated	2023-03-17T03:47:58Z
pubs.issue	4
pubs.publication-status	Published
pubs.volume	34
utslib.citation.issue	4

Abstract:

We introduce elastic textures: a set of parametric, tileable, printable, cubic patterns achieving a broad range of isotropic elastic material properties: the softest pattern is over a thousand times softer than the stiffest, and the Poisson's ratios range from below zero to nearly 0.5. Using a combinatorial search over topologies followed by shape optimization, we explore a wide space of truss-like, symmetric 3D patterns to obtain a small family. This pattern family can be printed without internal support structure on a single-material 3D printer and can be used to fabricate objects with prescribed mechanical behavior. The family can be extended easily to create anisotropic patterns with target orthotropic properties. We demonstrate that our elastic textures are able to achieve a user-supplied varying material property distribution. We also present a material optimization algorithm to choose material properties at each point within an object to best fit a target deformation under a prescribed scenario. We show that, by fabricating these spatially varying materials with elastic textures, the desired behavior is achieved. Copyright is held by the owner/author(s).

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http://hdl.handle.net/10453/167436