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  4. Inline Quality Monitoring of Reverse Extruded Aluminum Parts with Cathodic Dip-Paint Coating (KTL)
 
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December 9, 2022
Journal Article
Title

Inline Quality Monitoring of Reverse Extruded Aluminum Parts with Cathodic Dip-Paint Coating (KTL)

Abstract
Perfectly coated surfaces are an essential quality feature in the automotive and consumer goods industries. They are the result of an optimized, controlled coating process. Because entire assemblies could be rejected if Out-of-Specification (OOS) parts are installed, this has a severe economic impact. This paper presents a novel, line-integrated multi-camera system with intelligent algorithms for anomaly detection on small KTL-coated aluminum parts. The system also aims to automatize the previously used human inspection to a sophisticated and automated vision system that efficiently detects defects and anomalies on coated parts.
Author(s)
Pierer, Alexander  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Hauser, Markus
Benseler Beschichtungen GmbH
Hoffmann, Michael  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Naumann, Martin  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Wiener, Thomas  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
León, Melvin Alexis Lara de
VSB-Technical University of Ostrava  
Mende, Mattias  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Koziorek, Jiri
VSB-Technical University of Ostrava  
Dix, Martin  
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Journal
Sensors. Online journal  
Open Access
DOI
10.3390/s22249646
Language
English
Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU  
Keyword(s)
  • coating

  • extrusion

  • failure

  • neural networks

  • quality control

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