Sauer, Christopher

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Postal adress:
Martensstraße 9 91058 Erlangen Location: Martensstraße 9 91058 Erlangen (Südgelände) |
Main Research Topics
- Data-driven product design
- Knowledge based systems & engineering workbenches
- Machine Learning
- Metamodel-based Optimization
- Graph databases in product data management
Publications
2022
Reinforcement Learning As an Alternative for Parameter Prediction In Design for Sheet Bulk Metal Forming
ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference (St. Louis, MO, 14. August 2022 - 17. August 2022)
In: The American Society of Mechanical Engineers (ASME) (ed.): Volume 2: 42nd Computers and Information in Engineering Conference (CIE), St. Louis, Missouri: 2022
DOI: 10.1115/DETC2022-89073
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A Machine Learning-Based Approach for Quick Evaluation of Live Simulations in Embodiment Design
In: Proceedings of the Design Society 2 (2022), p. 1757-1766
ISSN: 2220-4342
DOI: 10.1017/pds.2022.178
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Design of Amorphous Carbon Coatings Using Gaussian Processes and Advanced Data Visualization
In: Lubricants 10 (2022), Article No.: 22
ISSN: 2075-4442
DOI: 10.3390/lubricants10020022
URL: https://www.mdpi.com/2075-4442/10/2/22
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Integrating Machine Learning in Digital Twins by utilizing SysML System Models
17th Annual System of Systems Engineering Conference (SOSE) (Rochester, NY, 7. June 2022 - 11. June 2022)
DOI: 10.1109/SOSE55472.2022.9812700
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Sysml 4 Digital Twins – Utilization of System Models for the Design and Operation of Digital Twins
In: Proceedings of the Design Society 2 (2022), p. 1815-1824
ISSN: 2220-4342
DOI: 10.1017/pds.2022.184
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Knowledge and Data-Based Design and Dimensioning of Mechanical Joining Connections
In: ASME (ed.): Proceedings of the ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2022
DOI: 10.1115/DETC2022-89172
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2021
Towards customized digital engineering: Challenges and potentials of adapting digital engineering methods for the product development process
2021 Stuttgarter Symposium fur Produktentwicklung, SSP 2021 (Stuttgart, DEU, 20. May 2021)
In: Hansgeorg Binz, Bernd Bertsche, Dieter Spath, Daniel Roth (ed.): Stuttgarter Symposium fur Produktentwicklung 2021
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Towards Customized Digital Engineering: Herausforderungen und Potentiale bei der Anpassung von Digital Engineering Methoden für den Produktentwicklungsprozess
Stuttgarter Symposium für Produktentwicklung (SSP2021) (Stuttgart, 20. May 2021 - 20. May 2021)
In: Binz H, Bertsche B, Spath D, Roth D (ed.): Stuttgarter Symposium für Produktentwicklung SSP 2021, Stuttgart: 2021
DOI: 10.18419/opus-11478
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Functional Analysis of Components Manufactured by a Sheet-Bulk Metal Forming Process
In: Journal of Manufacturing and Materials Processing 5 (2021), p. 1-18
ISSN: 2504-4494
DOI: 10.3390/jmmp5020049
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Fringe projection profilometry in production metrology: A multi-scale comparison in sheet-bulk metal forming
In: Sensors 21 (2021), Article No.: 2389
ISSN: 1424-8220
DOI: 10.3390/s21072389
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SLASSY—An Assistance System for Performing Design for Manufacturing in Sheet-Bulk Metal Forming: Architecture and Self-Learning Aspects
In: AI 2 (2021), p. 307-329
ISSN: 2673-2688
DOI: 10.3390/ai2030019
URL: https://www.mdpi.com/2673-2688/2/3/19
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A data model for linking testbed and field test data
32nd Symposium Design for X (DFX2021) (Online, 27. September 2021 - 28. September 2021)
DOI: 10.35199/dfx2021.01
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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. October 2020 - 16. October 2020)
DOI: 10.1016/j.procir.2021.01.065
URL: https://www.sciencedirect.com/science/article/pii/S2212827121000895
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Meta-model based generation of solution spaces in sheet-bulk metal forming
In: Procedia CIRP 91 (2020), p. 905-910
ISSN: 2212-8271
DOI: 10.1016/j.procir.2020.02.247
URL: https://www.archiv.mfk.tf.fau.de?file=pubmfk_5f6c5c26a86d0
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Simultaneous Development of a Self-learning Engineering Assistance System
In: Marion Merklein, A. Erman Tekkaya, Bernd-Arno Behrens (ed.): Sheet Bulk Metal Forming. Research Results of the TCRC73, Cham: Springer, 2020, p. 127 - 146 (Lecture Notes in Production Engineering)
ISBN: 978-3-030-61902-2
DOI: 10.1007/978-3-030-61902-2_6
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2019
Lücken und Herausforderungen bei der praktischen Umsetzung des Model-Based Systems Engineering
In: Konstruktion 71 (2019), p. 81-83
ISSN: 0720-5953
URL: https://www.archiv.mfk.tf.fau.de?file=pubmfk_5d1076f2cb37e
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A knowledge-based engineering workbench for automated tolerance specification
ASME IMECE 2019 (Salt Lake City, 11. November 2019 - 14. November 2019)
In: ASME 2019 International Mechanical Engineering Congress and Exposition 2019
DOI: 10.1115/IMECE2019-11225
URL: https://www.archiv.mfk.tf.fau.de?file=pubmfk_5dd29e773e193
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Einsatz von Graphdatenbanken für das Produktdatenmanagement im Kontext von Industrie 4.0
EEE 2019 (Dresden, 27. June 2019 - 28. June 2019)
In: Ralph H. Stelzer, Jens Krzywinski (ed.): Entwickeln Entwerfen Erleben in Produktentwicklung und Design 2019, Dresden: 2019
URL: https://www.archiv.mfk.tf.fau.de/?file=pubmfk_5d2d828aa8af1
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2018
Einsatz von Process-Mining zur Erweiterung der semantischen Produktbeschreibung
29. DfX-Symposium (Tutzing, 25. September 2018 - 26. September 2018)
In: Krause, D.; Paetzold, K.; Wartzack S. (ed.): Design for X. Beiträge zum 29. DfX-Symposium 2018
URL: https://www.archiv.mfk.tf.fau.de?file=pubmfk_5bac82179766d
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Ein ontologiebasierter Ansatz zur Wissensrepräsentation für die smarte Produktentwicklung
16. Gemeinsames Kolloquium Konstruktionstechnik 2018 (Bayreuth, 11. October 2018 - 12. October 2018)
In: Rieg, F.; Brökel, K.; Scharr, G.; Grote K.; Müller, N.; Lohrengel, A.; Nagarajah, A.; Corves, B. (ed.): Tagungsband 16. Gemeinsames Kolloquium Konstruktionstechnik 2018
URL: https://www.archiv.mfk.tf.fau.de/?file=pubmfk_5bc48f541f15a
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Deep learning in sheet-bulk metal forming part design
DESIGN 2018 - 15th Internaional Design Conference (Dubrovnik, 21. May 2018 - 24. May 2018)
In: DS92: Proceedings of the DESIGN 2018 15th International Design Conference 2018
DOI: 10.21278/idc.2018.0147
URL: https://www.archiv.mfk.tf.fau.de/?file=pubmfk_5b0bee1e19eb7
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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 (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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2017
Einsatz von Deep Learning zur ortsaufgelösten Beschreibung von Bauteileigenschaften
28. DfX-Symposium (Bamberg, 4. October 2017 - 5. October 2017)
In: Krause, D.; Paetzold, K.; Wartzack, S. (ed.): Design for X. Beiträge zum 28. DfX-Symposium, Hamburg: 2017
URL: https://www.archiv.mfk.tf.fau.de?file=pubmfk_59d7698c70864
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What does Design for Production mean? – From Design Guidelines to Self-learning Engineering Workbenches
11th International Workshop on Integrated Design Engineering (Magdeburg, 5. April 2017 - 7. April 2017)
In: Meyer A, Schirmeyer R, Vajna S (ed.): Proceedings of the 11th International Workshop on Integrated Design Engineering, Magdeburg: 2017
URL: https://www.archiv.mfk.tf.fau.de/?file=pubmfk_58eb545c8a359
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2015
Design-for-manufacture of sheet-bulk metal formed parts
20th International Conference on Engineering Design (ICED15) (Mailand)
In: Proceedings of the 20th International Conference on Engineering Design (ICED15), Vol. 4: Design for X, 27.-30. Juli 2015, Mailand, 2015, S. 11-20. 2015
URL: https://www.archiv.mfk.tf.fau.de/?file=pubmfk_5bc58188920c3
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