Maximilian Peter Dammann Dipl.-Ing.
Person

Affiliations

Chair of Virtual Product Development
- Academic Staff
- maximilian_peter.dammann@tu-dresden.de

Identification Numbers

ORCID	0000-0001-9789-2823
Scopus author ID	57219466187

Alternative Visualization of MBSE

Lin, B., Dammann, M. P., Kong, H., Saske, B. & Paetzold-Byhain, K., Sept 2024, In: DFX Symposium. p. 143-152 10 p.

Research output: Contribution to journal › Conference article › Contributed › peer-review

Modeling a sustainability-oriented development process with model-based systems engineering

Dammann, M. P., Hoffeins, P., Barth, J., Saske, B., Paetzold-Byhain, K. & Modler, N., Sept 2024, Proceedings of the 35th Symposium Design for X (DFX2024). Krause, D., Paetzold, K. & Wartzack, S. (eds.). The Design Society, Vol. DS 133. p. 075-084 10 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Evaluating the Role of Generative AI in Product Development and Design - A Systematic Review

Kretzschmar, M., Dammann, M. P., Schwoch, S., Braun, F., Saske, B. & Paetzold-Byhain, K., Aug 2024, Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th - 14th August 2024. p. 21-30 10 p. (Proceedings of NordDESIGN).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches

Richter, J., Dammann, M. P., Kluge, M., Saske, B., Arndt, S., Hornig, A. & Paetzold-Byhain, K. & 1 others, Modler, N., 2 Jul 2024, ECCM21 - Proceedings of the 21st European Conference on Composite Materials: Volume 3 - Material and Structural Behavior – Simulation & Testing. European Society for Composite Materials (ESCM), Vol. 3. p. 1576-1583 8 p.

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Towards a process for the creation of synthetic training data for AI-computer vision models utilizing engineering data

Schwoch, S., Dammann, M. P., Bartl, J. G., Kretzschmar, M., Saske, B. & Paetzold-Byhain, K., 16 May 2024, In: Proceedings of the Design Society. 4, p. 2237-2246 10 p.

Research output: Contribution to journal › Conference article › Contributed › peer-review

View all research output (15)

2021 Virtual Environments and Design Visualization Best Paper Award

Dammann, M. P. (Recipient), Steger, W. (Recipient) & Stelzer, R. (Recipient), Aug 2021

Prize: Publication/Conference prize

View all prizes (1)

Research Portal of the TU Dresden

Maximilian Peter Dammann Dipl.-Ing.
Person

Affiliations

Identification Numbers

Related content

Alternative Visualization of MBSE

Modeling a sustainability-oriented development process with model-based systems engineering

Evaluating the Role of Generative AI in Product Development and Design - A Systematic Review

Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches

Towards a process for the creation of synthetic training data for AI-computer vision models utilizing engineering data

2021 Virtual Environments and Design Visualization Best Paper Award