Bickel, Sebastian

2021

• Sprügel T., Bickel S., Schleich B., Wartzack S.:
  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
  BibTeX: Download

2020

• Bickel S., Sauer C., Schleich B., Wartzack S.:
  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
  BibTeX: Download

2019

• Bickel S., Schleich B., Wartzack S.:
  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
  BibTeX: Download
• Bickel S., Sprügel T., Schleich B., Wartzack S.:
  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
  BibTeX: Download

2018

• Sprügel T., Rothfelder R., Bickel S., Grauf A., Sauer C., Schleich B., Wartzack S.:
  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
  BibTeX: Download
• Sprügel T., Rothfelder R., Bickel S., Grauf A., Sauer C., Schleich B., Wartzack S.:
  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
  BibTeX: Download