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dc.contributor.author
Schüller, Christian Eduard
dc.contributor.supervisor
Sorkine-Hornung, Olga
dc.contributor.supervisor
Alexa, Marc
dc.contributor.supervisor
Panozzo, Daniele
dc.contributor.supervisor
Coros, Stelian
dc.date.accessioned
2019-02-15T07:53:09Z
dc.date.available
2019-02-14T15:03:03Z
dc.date.available
2019-02-14T15:14:59Z
dc.date.available
2019-02-15T07:19:31Z
dc.date.available
2019-02-15T07:53:09Z
dc.date.issued
2018
dc.identifier.uri
http://hdl.handle.net/20.500.11850/325296
dc.identifier.doi
10.3929/ethz-b-000325296
dc.description.abstract
We are witnessing a new revolution in the area of fabrication and manufacturing. The most recent generation of digital fabrication devices like 3D printers, laser cutters and 4-axis desktop milling machines, make it considerably easier for non-professionals to fabricate their own custom designed tools and objects at a reasonable price. This evolution will eventually liberate many from having to buy pre-built products and already allows a high level of individualized object design and customization. Over the past few years, an active community of makers has evolved, that constantly pushes the development of digital fabrication devices in the direction of smaller, more affordable tabletop and lab-sized machines. With this, there comes the need for user-friendly software and methods to create and work with their input data, since many of the devices' users do not have any special technical knowledge. Depending on the fabrication method, a designed shape needs to satisfy certain constraints and be physically feasible, especially if one wishes to replicate or approximate highly complex digital models. In this thesis, we explore and develop novel computational design methods that extend the capabilities of traditional crafting and manufacturing techniques to create 3D shapes. Specifically, we are interested in identifying instances of design processes that can be simplified and improved algorithmically and made readily accessible to the maker community through the use of digital fabrication techniques. We show how these approaches allow the creation of objects with a new level of quality and complexity, and think that this work will enable novel applications not just for the maker community but also potentially for industrial manufacturing.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Computational fabrication of 3D shapes: Enabling makers through novel geometric algorithms
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-02-14
ethz.size
150 p.
en_US
ethz.identifier.diss
25549
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03911 - Sorkine Hornung, Olga / Sorkine Hornung, Olga
en_US
ethz.date.deposited
2019-02-14T15:03:11Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-02-14T15:15:50Z
ethz.rosetta.lastUpdated
2019-02-15T07:53:39Z
ethz.rosetta.versionExported
true
ethz.COinS
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