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  4. A Digital Twin for estimating Process Quality during Automated Fiber Placement of Thermoplastic Composites
 
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2022
Conference Paper
Titel

A Digital Twin for estimating Process Quality during Automated Fiber Placement of Thermoplastic Composites

Abstract
The digital twin (DT) is a methodology accelerating process knowledge for the automated fiber placement (AFP) of unidirectional thermoplastic tape with in-situ consolidation. It implies a continuous assessment and evaluation of data allowing a faster process optimization and reducing ramp-up times. This study visualizes measured data within an automated digital shadow and combines it with analytical models for the AFP of thermoplastic composite blanks with in-situ consolidation. A DT combining analytical and experimental data is created visualizing quality indicators of a thermoplastic composite blank during manufacturing. In this study, a model predicting the degree of bonding is selected calculated based on the measured temperature data. The results show how a DT enables an easy and systematic method to analyse and optimize the AFP processing. It is a promising tool for automatizing process analysis and part quality estimation during the manufacturing of composite parts.
Author(s)
Schulz, Malena
Fraunhofer-Institut für Produktionstechnologie IPT
Survila, Eimantes
Fraunhofer-Institut für Produktionstechnologie IPT
Janssen, Henning
Fraunhofer-Institut für Produktionstechnologie IPT
Brecher, Christian
Fraunhofer-Institut für Produktionstechnologie IPT
Hauptwerk
SAMPE Europe Conference 2021
Project(s)
Composite based multi-material parts designed for circular economy
Funder
EIT RawMaterials GmbH
Konferenz
Society for the Advancement of Material and Process Engineering (SAMPE Europe Conference) 2021
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Language
English
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Tags
  • Automated Fiber Placement

  • Industry 4.0

  • Digital Twin

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