Dammann, Maximilian Peter
Research Associate
NameMr Dipl.-Ing. Maximilian Peter Dammann
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Chair of Virtual Product Development
Chair of Virtual Product Development
Visitor Adress:
Zeuner-Bau, Raum 232B George-Bähr-Straße 3c
01069 Dresden
Maximilian Dammann studied mechanical engineering at TU Dresden until 2018, specialising in general and constructive mechanical engineering with a focus on product development. In his internship at Evonta Service GmbH, he worked on the constructive adaptation and the increase of the throughput of a seed dressing machine without pickling agent to alternative electron beam systems.
In a diploma thesis, he dealt with the augmentation of technical objects with depth cameras. Since 2018, he has been working as a research assistant at the chair in the field of virtual reality. His work focuses on data preparation for AR/VR applications, user interfaces in AR/VR and reporting strategies for VR design reviews.
Publications
2024
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Alternative Visualization of MBSE , Sep 2024, p. 143-152, 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Modeling a sustainability-oriented development process with model-based systems engineering , Sep 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.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Evaluating the Role of Generative AI in Product Development and Design - A Systematic Review , Aug 2024, Proceedings of NordDesign 2024, Reykjavik, Iceland, 12th - 14th August 2024. p. 21-30, 10 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Digitalized composite material and product development – strategies and methods for multiscale experimental-numerical validation processes using PLM and MBSE approaches , 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.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Towards a process for the creation of synthetic training data for AI-computer vision models utilizing engineering data , 16 May 2024, 4, p. 2237-2246, 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Key Concepts, Potentials and Obstacles for the Implementation of Large Language Models in Product Development , 2024, Entwerfen Entwickeln Erleben 2024 : Menschen, Technik und Methoden in Produktentwicklung und Design. Paetzold-Byhain, K., Augsten, A. & Krzywinski, J. (eds.). Technische Universität Dresden, p. 381-393, 13 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2023
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OPTIMISED MODELS FOR AR/VR BY USING GEOMETRIC COMPLEXITY METRICS TO CONTROL TESSELLATION , 19 Jun 2023, 3, p. 2855–2864, 10 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Zweitveröffentlichung/(Postprint): Automated and adaptive geometry preparation for ar/vr-applications , 25 Jan 2023, QUCOSAElectronic (full-text) versionResearch output: Book/Report/Anthology > Monograph
2022
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Automated and Adaptive Geometry Preparation for AR/VR-Applications , 6 Jan 2022, 22, 3, 7 p., 031010Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A PREDICTIVE APPROACH TO GEOMETRY PREPARATION FOR AR/VR APPLICATIONS , 2022, Proceedings of the ASME Design Engineering Technical Conference. The American Society of Mechanical Engineers(ASME), V002T02A083Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution