Denk, Martin

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Postal adress:
Martensstraße 9 91058 Erlangen Location: Paul-Gordan-Straße 5 91052 Erlangen (Röthelheim-Campus) |
Main Research Topics
- Digital image processing and computer graphics in reverse engineering
- Generative and geometric deep learning
- Multi-objective/multi-material topology, shape and size optimization
Awards
No awards found.
Publications
2022
Statistical Characterization of Stress Concentrations along Butt Joint Weld Seams Using Deep Neural Networks
In: Applied Sciences 12 (2022), p. 6089
ISSN: 2076-3417
DOI: 10.3390/app12126089
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Truss Parametrization of Topology Optimization Results with Curve Skeletons and Meta Balls
In: Proceedings of the Design Society 2 (2022), p. 363-372
ISSN: 2220-4342
DOI: 10.1017/pds.2022.38
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Using Machine Learning for Product Portfolio Management: A Methodical Approach to Predict Values of Product Attributes for Multi-Variant Product Portfolios
In: Proceedings of the Design Society 2 (2022), p. 1659-1668
ISSN: 2220-4342
DOI: 10.1017/pds.2022.168
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2021
Euclidian distance transformation, main axis rotation and noisy dilitation supported cross-section classification with convolutional neural networks
23rd International Conference on Engineering Design, ICED 2021 (Gothenburg, SWE, 16. August 2021 - 20. August 2021)
In: Proceedings of the Design Society 2021
DOI: 10.1017/pds.2021.140
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Beam-colored Sketch and Image-based 3D Continuous Wireframe Reconstruction with different Materials and Cross-Sections
Entwerfen Entwickeln Erleben - EEE2021 (Dresden, 17. June 2021 - 18. June 2021)
DOI: 10.25368/2021.33
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Fully Automated Subdivision Surface Parametrization for Topology Optimized Structures and Frame Structures Using Euclidean Distance Transformation and Homotopic Thinning
In: Springer Vieweg (ed.): Proceedings of the Munich Symposium on Lightweight Design 2020, Heidelberb: , 2021, p. 18-27
ISBN: 9783662631423
DOI: 10.1007/978-3-662-63143-0_2
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Subdivision surface mid-surface reconstruction of topology optimization results and thin-walled shapes using surface skeletons
23rd International Conference on Engineering Design, ICED 2021 (Gothenburg, 16. August 2021 - 20. August 2021)
In: Cambridge University Press (ed.): Proceedings of the Design Society 2021
DOI: 10.1017/pds.2021.538
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Nodal cosine sine material interpolation in multi objective topology optimization with the global criteria method for linear elasto static, heat transfer, potential flow and binary cross entropy sharpening
23rd International Conference on Engineering Design, ICED 2021 (Gothenburg, 16. August 2021 - 20. August 2021)
In: Proceedings of the Design Society 2021
DOI: 10.1017/pds.2021.486
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Modellbasierte Umsetzung des Anforderungsmanagements zur Unterstützung der Entwicklung eines Experimentalsatelliten
32nd Symposium Design for X, DFX 2021 (Online, 27. September 2021 - 28. September 2021)
In: Dieter Krause, Kristin Paetzold, Sandro Wartzack (ed.): Proceedings of the 32nd Symposium Design for X, DFX 2021 2021
DOI: 10.35199/dfx2021.21
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Synthetic data generation for deep learning models
32nd Symposium Design for X, DFX 2021 (Online, 27. September 2021 - 28. September 2021)
In: Dieter Krause, Kristin Paetzold, Sandro Wartzack (ed.): Proceedings of the 32nd Symposium Design for X, DFX 2021 2021
DOI: 10.35199/dfx2021.11
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2020
Multi-objective topology optimization of heat conduction and linear elastostatic using weighted global criteria method
31st Symposium Design for X, DFX 2020 (Online, 16. September 2020 - 17. September 2020)
In: Dieter Krause, Kristin Paetzold, Sandro Wartzack (ed.): Proceedings of the 31st Symposium Design for X, DFX 2020 2020
DOI: 10.35199/dfx2020.10
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Topology-Optimized 4D Printing of a Soft Actuator
In: Acta Mechanica Solida Sinica 33 (2020), p. 418-430
ISSN: 0894-9166
DOI: 10.1007/s10338-019-00137-z
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Effects of topology optimization in multimaterial 3D bioprinting of soft actuators
In: International Journal of Bioprinting 6 (2020), p. 1-11
ISSN: 2424-7723
DOI: 10.18063/ijb.v6i2.260
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2019
Feature line detection of noisy triangulated CSGbased objects using deep learning
DS 98: Proceedings of the 30th Symposium Design for X (DFX 2019)
DOI: 10.35199/dfx2019.21
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