at Google ScholarTitle data
Hautsch, Stefan ; Katona, Sebastian ; Sprügel, Tobias ; Koch, Michael ; Rieg, Frank ; Wartzack, Sandro:
Anwendung wissensbasierter Simulationen zur Ausschöpfung von Leichtbaupotenzialen in der Automobilindustrie.
In: Krause, Dieter ; Paetzold, Kristin ; Wartzack, Sandro
(ed.):
Design for X. -
Hamburg
: TuTech Verlag, TuTech Innovation GmbH
,
2016
. - pp. 89-100
ISBN 978-3-946094-09-8
DOI: https://doi.org/10.15480/882.1322
Abstract in another language
The application of knowledge-based simulations to scoop lightweight design potentials in automotive industry provides an efficient way of virtual product development for inexperienced operators. Generating lightweight constructions or reengineering and improving existing automobile parts can be achieved by combining structural optimization, knowledge allocation and 3D scan techniques. As the phases of this process are mostly performed virtually and supported by a knowledge database, even inexperienced developers can efficiently invent lightweight constructions by utilizing modern optimization tools. Furthermore, they can secure the designs with enhanced finite element analyses and identify possible mechanical problems because of manufacturing deviations with help of 3D scanning methods.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Keywords: | Leichtbau; Simulation; simulation-driven engineering; finite-element-analysis; optimization; knowledge-based; 3D scan |
| Institutions of the University: | Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD Faculties > Faculty of Engineering Science > Former Professors > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing. Frank Rieg Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Former Professors |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 600 Technology, medicine, applied sciences > 620 Engineering |
| Date Deposited: | 24 Mar 2017 10:33 |
| Last Modified: | 07 Feb 2022 09:20 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/36646 |