Bickel, Sebastian

2024

• Bickel S., Götz S., Wartzack S.:
  Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning
  In: Applied Sciences 14 (2024), Article No.: 6106
  ISSN: 2076-3417
  DOI: 10.3390/app14146106
• Pickel J., Bickel S., Götz S., Wartzack S.:
  Integration of product development data for further ontological utilization
  DESIGN 2024
  DOI: 10.1017/pds.2024.49

2023

• Bickel S., Götz S., Wartzack S.:
  Detection of Plausibility and Error Reasons in Finite Element Simulations with Deep Learning Networks
  In: Algorithms 16 (2023), p. 209
  ISSN: 1999-4893
  DOI: 10.3390/a16040209
• Bickel S., Götz S., Wartzack S.:
  DETECTION OF SINGULARITIES IN FINITE ELEMENT SIMULATIONS: A 3D DEEP LEARNING APPROACH
  ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2023 (Boston, MA, 20. August 2023 - 23. August 2023)
  In: Proceedings of the ASME Design Engineering Technical Conference 2023
  DOI: 10.1115/DETC2023109720
• Bickel S., Götz S., Wartzack S.:
  FROM SKETCHES TO GRAPHS: A DEEP LEARNING BASED METHOD FOR DETECTION AND CONTEXTUALISATION OF PRINCIPLE SKETCHES IN THE EARLY PHASE OF PRODUCT DEVELOPMENT
  In: Proceedings of the Design Society 3 (2023), p. 1975-1984
  ISSN: 2220-4342
  DOI: 10.1017/pds.2023.198
• Bickel S., Schleich B., Wartzack S.:
  A Novel Shape Retrieval Method for 3D Mechanical Components Based on Object Projection, Pre-Trained Deep Learning Models and Autoencoder
  In: Computer-Aided Design 154 (2023), Article No.: 103417
  ISSN: 0010-4485
  DOI: 10.1016/j.cad.2022.103417
  URL: https://www.archiv.mfk.tf.fau.de?file=pubmfk_636e532582e1b

2022

• Bickel S., Schleich B., Wartzack S.:
  A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks
  17th International Design Conference, DESIGN 2022 (Online, 23. May 2022 - 26. May 2022)
  In: Proceedings of the Design Society 2022
  DOI: 10.1017/pds.2022.152
  URL: https://www.cambridge.org/core/journals/proceedings-of-the-design-society/article/new-projection-based-method-for-the-classification-of-mechanical-components-using-convolutional-neural-networks/BEF06D3E3B7D49CB17F180E22CD75869
• Bickel S., Schleich B., Wartzack S.:
  ResNet networks for plausibility detection in Finite Element simulations
  NordDesign 2022: How Product and Manufacturing Design Enable Sustainable Companies and Societies (Copenhagen, 16. August 2022 - 18. August 2022)
  In: N.H. Mortensen, C.T. Hansen, M. Deininger (ed.): Proceedings of NordDesign 2022: How Product and Manufacturing Design Enable Sustainable Companies and Societies 2022
• Denk M., Bickel S., Steck P., Götz S., Völkl H., Wartzack S.:
  Generating Digital Twins for Path-Planning of Autonomous Robots and Drones Using Constrained Homotopic Shrinking for 2D and 3D Environment Modeling
  In: Applied Sciences 13 (2022), p. 105
  ISSN: 2076-3417
  DOI: 10.3390/app13010105
• Gerschütz B., Bickel S., Schleich B., Wartzack S.:
  Enabling Initial Design-Checks of Parametric Designs Using Digital Engineering Methods
  In: Proceedings of the Design Society 2 (2022), p. 405-414
  ISSN: 2220-4342
  DOI: 10.1017/pds.2022.42

2021

• Bickel S., Schleich B., Wartzack S.:
  Detection and Classification of Symbols in Principle Sketches using Deep Learning
  International Conference on Engineering Design (ICED21) (Göteburg, 16. August 2021 - 19. August 2021)
  In: Cambridge University Press (ed.): Proceedings of the International Conference on Engineering Design (ICED21) 2021
  DOI: 10.1017/pds.2021.118
• Qie Y., Bickel S., Wartzack S., Schleich B., Anwer N.:
  A function-oriented surface reconstruction framework for reverse engineering
  In: CIRP Annals - Manufacturing Technology 70 (2021), p. 135-138
  ISSN: 0007-8506
  DOI: 10.1016/j.cirp.2021.04.016
• 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), p. 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

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. October 2020 - 16. October 2020)
  DOI: 10.1016/j.procir.2021.01.065
  URL: https://www.sciencedirect.com/science/article/pii/S2212827121000895

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. October 2019 - 17. October 2019)
  In: 37. CADFEM ANSYS Simulation Conference (22719) 2019
• 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.archiv.mfk.tf.fau.de?file=pubmfk_5d5126503e7a3

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
  13th Biennial Norddesign Conference, 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