Titre : |
Fibre placement in-process monitoring and solutions for quality optimisation |
Type de document : |
texte imprimé |
Auteurs : |
Franz Engel, Auteur ; Dominik Karl, Auteur ; Natalie Mayer, Auteur |
Année de publication : |
2018 |
Article en page(s) : |
p. 18-20 |
Note générale : |
Bibliogr. |
Langues : |
Anglais (eng) |
Catégories : |
Analyse des données Composites à fibres Mesures optiques Placement automatisé de fibres
|
Index. décimale : |
668.4 Plastiques, vinyles |
Résumé : |
Recently, the composite industry has been focusing on increasing the efficiency of processes. The large panel of automated processes highlights the importance of optimising process quality and time. However, there was no automated quality inspection system available, keeping this key step time-consuming and prone to potential human error. In this context, InFactory Solutions developed new solutions for automated fibre placement (AFP) monitoring. |
Note de contenu : |
- AFP sensor
- Data visualisation
- Data analytics
- Fig. 1 : Schematic description of the AFT sensor process
- Fig. 2 : Example of defect images recorded by the AFP sensor
- Fig. 3 : Example of an AFP sensor mounted on an AFP machine and assembly layout
- Fig. 4 : AFP sensor data visualization
- Fig. 5 : Augmented reality glasses used in AFP production for data visualization and defect evaluation |
En ligne : |
https://drive.google.com/file/d/1Sxhi3CJyy5_s2B9kpmE-eXCsnt8L_fiR/view?usp=drive [...] |
Format de la ressource électronique : |
Pdf |
Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=31612 |
in JEC COMPOSITES MAGAZINE > N° 122 (07/2018) . - p. 18-20