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Max Schnaubelt

dblp:299/0419 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational fabrication › structural design
deployable structures
0.512021
Bistable auxetic surface structures · ACM Trans. Graph. 2021
Computational fabrication › computational design
inverse design
0.512021
Bistable auxetic surface structures · ACM Trans. Graph. 2021

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

metric distortion analysis · 0.5bistable auxetic cell library · 0.5
YearPublicationVenuePosition
2021 Bistable auxetic surface structures
abstract
We present Bistable Auxetic Surface Structures , a novel deployable material system based on optimized bistable auxetic cells. Such a structure can be flat-fabricated from elastic sheet material, then deployed towards a desired double-curved target shape by activating the bistable mechanism of its component cells. A unique feature is that the deployed model is by design in a stable state. This facilitates deployment without the need of complex external supports or boundary constraints. We introduce a computational solution for the inverse design of our Bistable Auxetic Surface Structures. Our algorithm first precomputes a library of bistable auxetic cells to cover a range of in-plane expansion / contraction ratios, while maximizing the bistability and stiffness of the cell to ensure robust deployment. We then use metric distortion analysis of the target surface to compute the planar fabrication state as a composition of cells that best matches the desired deployment deformation. As each cell expands or contracts during deployment, metric frustration forces the surface towards its target equilibrium state. We validate our method with several physical prototypes.
Julian Panetta, Max Schnaubelt, Mark Pauly
ACM Trans. Graph.3