Record link: 
http://hdl.handle.net/20.500.12708/197654
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Title: 
Addressing Uncertainty in Manufacturing Engineering: Surrogate Models for Plastics Flow
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Citation: 
Key, F. (2024). Addressing Uncertainty in Manufacturing Engineering: Surrogate Models for Plastics Flow. In SIAM Conference on Uncertainty Quantification (UQ24) - Searchable Abstracts Document (pp. 53–53).
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Publication Type: 
Inproceedings - Abstract Book Contribution
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Language: 
English
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Authors: 
Key, Fabian 
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Organisational Unit: 
E317-01-1 - Forschungsgruppe Numerische Analyse- und Designmethoden 
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Published in: 
SIAM Conference on Uncertainty Quantification (UQ24) - Searchable Abstracts Document 
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Date (published): 
27-Feb-2024
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Event name: 
SIAM Conference on Uncertainty Quantification (UQ24) SIAM 2024 
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Event date: 
27-Feb-2024 - 1-Mar-2024
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Event place: 
Trieste, Italy
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Number of Pages: 
1
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Keywords: 
Uncertainty Quantification; Surrogate Models; Model Order Reduction; Manufacturing Engineering; Plastics Flow
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Research Areas: 
Digital Transformation in Manufacturing: 30%
Computational Fluid Dynamics: 30%
Modeling and Simulation: 40%
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Science Branch: 
2030 - Maschinenbau: 40%
2119 - Sonstige Technische Wissenschaften: 30%
1010 - Mathematik: 30%
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Appears in Collections:
Conference Paper

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