Computational and Data-driven Design for Manufacturing
Event details
| Date | 11.02.2020 |
| Hour | 09:00 › 10:00 |
| Speaker | Prof. Bernd Bickel, Computer Graphics and Digital Fabrication Group, Institute of Science and Technology Austria (IST Austria) |
| Location | |
| Category | Conferences - Seminars |
Abstract: Advanced fabrication techniques have grown in sophistication over the last decade, vastly extending the scope of structures and materials that can be fabricated. While new opportunities have emerged for the manufacturing of customized shapes, architected materials with novel functionalities, and active composites that can sense and respond to their environment, their potential impact is limited by the lack of efficient computational approaches for design.
In this talk, I will describe recent progress in engineering design toward novel concepts for modeling, designing, and reproducing objects with nontrivial shapes, topologies, and functionalities. I will first highlight how data-driven techniques can enable interactive design, showing a method for learning and instantly predicting how fluid flows around three-dimensional objects. Leveraging optimization-based design, tailored computational methods, and data-driven models of the materials’ responses, I will then introduce novel approaches for discovering and designing architected materials and demonstrate their applicability for encoding temporal shape evolution in architected shells that assume complex shapes and doubly curved geometries.
Finally, I will reflect on the successes and challenges of data-driven design and discuss opportunities for further work in this area.
Bio: Bernd Bickel is an assistant professor, heading the Computer Graphics and Digital Fabrication Group at the Institute of Science and Technology Austria (IST Austria). He is a computer scientist interested in computational fabrication, visual computing, and their application in robotics, materials science, and computational design. His main objective is to develop new techniques for efficient design, simulation, and physical reproduction of digital content. Bernd graduated with a PhD in computer science from ETH Zurich in 2010. From 2011 to 2012, Bernd was a visiting professor at the Technical University of Berlin, and in 2012, he became a research scientist and research group leader at Disney Research. In early 2015, Bernd joined IST Austria. He received the ETH Medal for Outstanding Doctoral Thesis in 2011, the Eurographics Best PhD Award in 2012, the Microsoft Visual Computing Award in 2015, an ERC Starting Grant in 2016, the ACM SIGGRAPH Significant New Researcher Award in 2017, and a technical achievement award from the Academy of Motion Picture Arts and Sciences in 2019.
In this talk, I will describe recent progress in engineering design toward novel concepts for modeling, designing, and reproducing objects with nontrivial shapes, topologies, and functionalities. I will first highlight how data-driven techniques can enable interactive design, showing a method for learning and instantly predicting how fluid flows around three-dimensional objects. Leveraging optimization-based design, tailored computational methods, and data-driven models of the materials’ responses, I will then introduce novel approaches for discovering and designing architected materials and demonstrate their applicability for encoding temporal shape evolution in architected shells that assume complex shapes and doubly curved geometries.
Finally, I will reflect on the successes and challenges of data-driven design and discuss opportunities for further work in this area.
Bio: Bernd Bickel is an assistant professor, heading the Computer Graphics and Digital Fabrication Group at the Institute of Science and Technology Austria (IST Austria). He is a computer scientist interested in computational fabrication, visual computing, and their application in robotics, materials science, and computational design. His main objective is to develop new techniques for efficient design, simulation, and physical reproduction of digital content. Bernd graduated with a PhD in computer science from ETH Zurich in 2010. From 2011 to 2012, Bernd was a visiting professor at the Technical University of Berlin, and in 2012, he became a research scientist and research group leader at Disney Research. In early 2015, Bernd joined IST Austria. He received the ETH Medal for Outstanding Doctoral Thesis in 2011, the Eurographics Best PhD Award in 2012, the Microsoft Visual Computing Award in 2015, an ERC Starting Grant in 2016, the ACM SIGGRAPH Significant New Researcher Award in 2017, and a technical achievement award from the Academy of Motion Picture Arts and Sciences in 2019.
Practical information
- General public
- Free