Bickel, Sebastian

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Postanschrift:
Martensstraße 9 91058 Erlangen Standort: Paul-Gordan-Straße 5 91052 Erlangen (Röthelheim-Campus) |
Forschungsschwerpunkte
- FE-Plausibilitätsprüfungen
- wissensbasierte Assistenzsysteme
Veröffentlichungen
2021
Approach and application to transfer heterogeneous simulation data from finite element analysis to neural networks
In: Journal of Computational Design and Engineering Volume 8 (2021), S. 298–315
ISSN: 2288-4300
DOI: 10.1093/jcde/qwaa079
URL: https://academic.oup.com/jcde/advance-article/doi/10.1093/jcde/qwaa079/6032726?guestAccessKey=65243e47-4004-4e43-b8cf-c234ac13affe
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2020
Comparing CAD part models for geometrical similarity: A concept using machine learning algorithms
CIRPe 2020 - 8th CIRP Global Web Conference - (, 14. Oktober 2020 - 16. Oktober 2020)
DOI: 10.1016/j.procir.2021.01.065.
URL: https://www.sciencedirect.com/science/article/pii/S2212827121000895
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2019
Konzept zur Erkennung von Singularitäten in FE-Simulationen mittels Machine-Learning Algorithmen
37. CADFEM ANSYS Simulation Conference 2019 (Kassel, 16. Oktober 2019 - 17. Oktober 2019)
In: 37. CADFEM ANSYS Simulation Conference (22719) 2019
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How Do Digital Engineering and Included AI Based Assistance Tools Change the Product Development Process and the Involved Engineers
International Conference on Engineering Design, ICED19 (Delft, 5. August 2019 - 8. August 2019)
In: Proceedings of the 22nd International Conference on Engineering Design (ICED19), Cambridge, United Kingdom: 2019
DOI: 10.1017/dsi.2019.263
URL: https://www.cambridge.org/core/journals/proceedings-of-the-international-conference-on-engineering-design/article/how-do-digital-engineering-and-included-ai-based-assistance-tools-change-the-product-development-process-and-the-involved-engineers/9A3D0EBA6DE557C2007E6EFF5574765F
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2018
Methodology for plausibility checking of structural mechanics simulations using Deep Learning on existing simulation data
NordDesign 2018 (Linköping, 14. August 2018 - 17. August 2018)
In: Proceedings of NordDesign 2018 2018
URL: https://www.archiv.mfk.tf.fau.de/?file=pubmfk_5bc5820375d8d
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Methodology for plausibility checking of structural mechanics simulations using Deep Learning on existing simulation data
13th Biennial Norddesign Conference, NordDesign 2018
URL: https://www.scopus.com/record/display.uri?eid=2-s2.0-85057150108∨igin=inward
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