Sprügel T, Kestel P, Wartzack S (2016)
Publication Type: Conference contribution, Conference Contribution
Publication year: 2016
Conference Proceedings Title: Beiträge zum 27. DfX-Symposium
Event location: Jesteburg
URI: https://www.archiv.mfk.tf.fau.de?file=pubmfk_59413e6bde2a3
Finite Element Analysis (FEA) is a very efficient tool for optimizing product
performance and quality. Hence, more simulation engineers with a lot of experience
are needed, but they are not available. Consequently other users,
such as design engineers, should be able to perform valid, reliable FEA. One
of the goals of the research cooperation FORPRO² is to create a knowledgebased
FEA assistance system with an integrated plausibility check for structural
mechanics. Within this paper a methodology for a plausibility check using
spherical detector surfaces is presented. Thereby it is possible to reduce
any FE simulation to matrices of fixed size for each boundary condition and
each FEA result variable. The created matrices can then be combined to form
a single larger image. These images can afterwards be classified as plausible
or implausible by a Deep Learning Neural Network.
APA:
Sprügel, T., Kestel, P., & Wartzack, S. (2016). FEA-Assistenzsystem – Plausibilitätsprüfung für Finite-Elemente-Simulationen mittels sphärischer Detektorflächen. In Krause D., Paetzold K., Wartzack S. (Eds.), Beiträge zum 27. DfX-Symposium. Jesteburg.
MLA:
Sprügel, Tobias, Philipp Kestel, and Sandro Wartzack. "FEA-Assistenzsystem – Plausibilitätsprüfung für Finite-Elemente-Simulationen mittels sphärischer Detektorflächen." Proceedings of the Symposium Design for X, Jesteburg Ed. Krause D., Paetzold K., Wartzack S., 2016.
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