Combining Simulation and Machine Learning as Digital Twin for the Manufacturing of Overmolded Thermoplastic Composites

Combining Simulation and Machine Learning as Digital Twin for the Manufacturing of Overmolded Thermoplastic Composites

The design and development of composite structures requires precise and robust manufacturing processes. Composite materials such as fiber reinforced thermoplastics (FRTP) provide a good balance between manufacturing time, mechanical performance and weight. In this contribution, we investigate the pr...

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Bibliographic Details
Main Authors: André Hürkamp, Sebastian Gellrich, Tim Ossowski, Jan Beuscher, Sebastian Thiede, Christoph Herrmann, Klaus Dröder
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
digital twin
surrogate modeling
machine learning
cyber physical production systems
thermoplastic composites
overmolding
Online Access:https://www.mdpi.com/2504-4494/4/3/92

Internet

https://www.mdpi.com/2504-4494/4/3/92

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