Artikel

Kannapinn, Maximilian ; Köhler, Felix ; Schäfer, Michael (2024)
A validated thermal computational fluid dynamics model of wine warming in a glass.
In: Applied Sciences, 14 (19)
doi: 10.3390/app14198997
Artikel, Bibliographie

Kannapinn, Maximilian ; Schäfer, Michael ; Weeger, Oliver (2024)
TwinLab: a framework for data-efficient training of non-intrusive reduced-order models for digital twins.
In: Engineering Computations
doi: 10.1108/EC-11-2023-0855
Artikel, Bibliographie

Kannapinn, Maximilian ; Pham, Minh Khang ; Schäfer, Michael (2022)
Physics-based digital twins for autonomous thermal food processing: Efficient, non-intrusive reduced-order modeling.
In: Innovative Food Science and Emerging Technologies, 81
doi: 10.1016/j.ifset.2022.103143
Artikel, Bibliographie

Konferenzveröffentlichung

Kannapinn, Maximilian ; Schäfer, Michael (2021)
Autonomous Cooking with Digital Twin Methodology.
14th World Congress on Computational Mechanics (WCCM) - ECCOMAS Congress 2020. Virtual Congress (11.01.2021-15.01.2021)
doi: 10.23967/wccm-eccomas.2020.074
Konferenzveröffentlichung, Bibliographie

Kannapinn, Maximilian ; Schäfer, Michael (2019)
Endeavouring Intelligent Process Self-Control by Employing Digital Twin Methodology: Proof-of-Concept Study for Cooking Applications.
Simulation Conference. Kassel, Germany (15.10.2019-17.10.2019)
Konferenzveröffentlichung, Bibliographie

Dissertation

Kannapinn, Maximilian (2023)
Digital Twins for Autonomous Thermal Food Processing.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00024386
Dissertation, Erstveröffentlichung, Verlagsversion