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Design Science Journal
Papers

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

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

Year: 2014

Section: Wissensbasiertes Konstruieren

Editor: Dieter Krause, Kristin Paetzold, Sandro Wartzack

Author: Tobias C. Spruegel, Sandro Wartzack

Series: DfX

Institution: Friedrich-Alexander-Universit

Section: Wissensbasiertes Konstruieren

Pages: 47-56

ISBN: 978-3-941492-79-0

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.

Keywords: automatic part recognition, Artificial Neural Network, ANN, FEM, detection surface

ds endorsed conferenceDFX 2017 28th SYMPOSIUM DESIGN FOR X, Bamberg, GER, 04-05 OCTOBER, 2017

DFX 2017 28th SYMPOSIUM DESIGN FOR X, Bamberg, GER, 04-05 OCTOBER, 2017The “Symposium Design for X” will be held at the Welcome Kongresshotel, Bamberg, Germany on 4 – 5 October 2017. The annual event provides a platform to young postgraduates to present and discuss their new approaches in the field of product development. Industry professionals and professors will enrich these discussions with their manifold experience. This year's symposium will be hosted by Prof. Sandro Wartzack, head of the chair of engineering design (KTmfk) at the University of Erlangen-Nuremberg....

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Keywords
SIG Workshop - March 2013 - 1