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  4. Qualification Method for Automated Fibre Placement to Optimize Process Parameters Regarding Layup Quality
 
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2022
Conference Paper
Title

Qualification Method for Automated Fibre Placement to Optimize Process Parameters Regarding Layup Quality

Abstract
Automated Fibre Placement (AFP) is an advanced process for the manufacturing of high-performance composite structures and is established in the aerospace industry. The main challenge is the optimization of the process parameters, such as layup speed, compaction force and heating temperature, to minimize the common AFP layup defects. The evaluation of these defects is an important topic during the development of new components. Defect detection is usually done by visual inspection of the layup and manual recording of the occurred defects. This paper developed a methodology to determine the defect characteristics, focused on out-of-plane wrinkles, which are typical during a curved layup of thermoset tape material in respect to process parameters, geometry and material width. This methodology offers the possibility to compare different materials and process parameters on a basic level to get a detailed understanding of the influence on layup quality within the AFP process.
Author(s)
Scheiterlein, Kevin  
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Etlijani, Oussama
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Sebastian, Müller
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Drechsler, Klaus  
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Mainwork
20th European Conference on Composite Materials, ECCM 2022. Proceedings. Vol.2 - Manufacturing  
Conference
European Conference on Composite Materials 2022  
Open Access
File(s)
Download (556.23 KB)
Rights
CC BY-NC 4.0: Creative Commons Attribution-NonCommercial
DOI
10.24406/h-446176
Language
English
Fraunhofer-Institut für Gießerei-, Composite- und Verarbeitungstechnik IGCV  
Fraunhofer Group
Fraunhofer-Verbund Produktion  
Keyword(s)
  • Automated Fibre Placement

  • fibre steering

  • machine learning

  • optical measurement

  • quality analysis

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