The task of finding the perfect shape of a real-world object that fulfills a given objective optimally appears in many disciplines, like interior design, building planning, or construction of machine parts. These tasks can be subject to considerations of functionality, cost-effciency, and aesthetics, as well as constraints relating to size, producibility, safety margins, etc. The great complexity and the presence of conflicting and hard-to-formalize goals have hitherto precluded automation of many design tasks and leave them in the hands of human designers and engineers.

There is, however, great potential to aid these processes computationally and to unlock difficult design tasks for a larger audience. This will not only provide faster work flows and enable the exploration of new design spaces, but it constitutes a necessary step towards the wide-spread application of personalized fabrication techniques like additive manufacturing. Low-cost 3d printing has been widely described as a disruptive technology and the herald of a new industrial revolution. These expectations have since been tempered by a reality which shows that availability alone is inconsequential unless accompanied by an innovation of supporting technologies.

The big challenge in making new fabrication techniques more useful is the development of a computational design methodology that relieves its users of low-level tasks like explicit 3d modeling and provides tools to create shapes from functional, aesthetic, and other high-level specifications. The overarching goal of this research area is to find new mathematical models and computational solutions fordesign tasks that are at this time tedious or impossible at all.


3 Publications found:
Image Bib Reference Publication Type
Przemyslaw Musialski, Christian Hafner, Florian Rist, Michael Birsak, Michael Wimmer, Leif Kobbelt
Non-Linear Shape Optimization Using Local Subspace Projections
ACM Transactions on Graphics, 35(4):87:1-87:13, 2016. [paper_3MB] [supplemental]
Journal Paper with Conference Talk
Christian Hafner, Przemyslaw Musialski, Thomas Auzinger, Michael Wimmer, Leif Kobbelt
Optimization of Natural Frequencies for Fabrication-Aware Shape Modeling
Poster shown at ACM SIGGRAPH 2015 (2015-08-09-2015-08-13) In Proceedings of ACM SIGGRAPH 2015 Posters. August 2015.
[abstract] [eposter] [thumbnail] [video]
Przemyslaw Musialski, Thomas Auzinger, Michael Birsak, Michael Wimmer, Leif Kobbelt
Reduced-Order Shape Optimization Using Offset Surfaces
ACM Transactions on Graphics (ACM SIGGRAPH 2015), 34(4):102:1-102:9, August 2015. [additional] [fastforward] [image] [preprint] [video]
Journal Paper with Conference Talk
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