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Jan Rys

dblp:167/4283 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational fabrication · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication
additive manufacturing
0.212015
Microstructures to control elasticity in 3D printing · ACM Trans. Graph. 2015
Computational fabrication › material design
metamaterial design
0.212015
Microstructures to control elasticity in 3D printing · ACM Trans. Graph. 2015
Computational fabrication › material design
microstructure design
0.212015
Microstructures to control elasticity in 3D printing · ACM Trans. Graph. 2015

Methods — techniques the papers use, named apart from their topics

numerical optimization · 0.2microstructure tiling · 0.2
YearPublicationVenuePosition
2015 Microstructures to control elasticity in 3D printing
abstract
We propose a method for fabricating deformable objects with spatially varying elasticity using 3D printing. Using a single, relatively stiff printer material, our method designs an assembly of small-scale microstructures that have the effect of a softer material at the object scale, with properties depending on the microstructure used in each part of the object. We build on work in the area of metamaterials, using numerical optimization to design tiled microstructures with desired properties, but with the key difference that our method designs families of related structures that can be interpolated to smoothly vary the material properties over a wide range. To create an object with spatially varying elastic properties, we tile the object's interior with microstructures drawn from these families, generating a different microstructure for each cell using an efficient algorithm to select compatible structures for neighboring cells. We show results computed for both 2D and 3D objects, validating several 2D and 3D printed structures using standard material tests as well as demonstrating various example applications.
Bernd Bickel, Jan Rys, Steve Marschner, Chiara Daraio, Markus Gross 0001
ACM Trans. Graph.3