Konzept zur automatischen Bauteilerkennung innerhalb der FE-Software-Umgebung mittels Künstlichen Neuronalen Netzen

Sprügel T, Wartzack S (2014)

Publication Language: German

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: TuTech Verlag

City/Town: Hamburg

Pages Range: 47-56

Conference Proceedings Title: Design for X. Beiträge zum 25. DfX-Symposium

Event location: Bamberg DE

ISBN: 978-3-941492-79-0

URI: https://www.mfk.uni-erlangen.de?file=pubmfk_563859b83c05d

Abstract

The Finite Element Method is a very powerful tool to enhance product quality and to reduce unnecessary and costly iterations during the product development process. However numerous errors can occur during the FE simulation. A promising way to realize precise and quick FE simulations is the comparison of the FE solution with analytical machine elements equations. This is only possible if the components in an assembly can be identified automatically. A promising way is to use the presented approach in this paper
for part recognition with artificial neural networks and the use of detection surfaces.

Authors with CRIS profile

Tobias Sprügel Chair of Engineering Design (KTmfk) Sandro Wartzack Chair of Engineering Design (KTmfk)

How to cite

APA:

Sprügel, T., & Wartzack, S. (2014). Konzept zur automatischen Bauteilerkennung innerhalb der FE-Software-Umgebung mittels Künstlichen Neuronalen Netzen. In Krause, D.; Paetzold, K.; Wartzack, S. (Hrg.), Design for X. Beiträge zum 25. DfX-Symposium (S. 47-56). Bamberg, DE: Hamburg: TuTech Verlag.

MLA:

Sprügel, Tobias, und Sandro Wartzack. "Konzept zur automatischen Bauteilerkennung innerhalb der FE-Software-Umgebung mittels Künstlichen Neuronalen Netzen." Tagungsband 25. DfX-Symposium, Bamberg Hrg. Krause, D.; Paetzold, K.; Wartzack, S., Hamburg: TuTech Verlag, 2014. 47-56.

BibTeX: Download