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Classification of production quality in injection moulding with an embedded diagnostic system using a fuzzy inference system

 
: Schneider, Manuel; Walther, Christian; Wenzel, Andreas

Hoffmann, Frank (Hrsg.) ; Karlsruher Institut für Technologie -KIT-; VDI/VDE-Gesellschaft Meß- und Automatisierungstechnik -GMA-, Düsseldorf:
26. Workshop Computational Intelligence 2016. Proceedings : 24. - 25. November 2016, Dortmund
Karlsruhe: KIT Scientific Publishing, 2016
ISBN: 978-3-7315-0588-4
ISBN: 3-7315-0588-6
S.193-203
Workshop Computational Intelligence <26, 2016, Dortmund>
Englisch
Konferenzbeitrag
Fraunhofer IOSB ()

Abstract
The construction of a fuzzy inference system for calculation of the production quality within injection moulding processes is described in this contribution. The aim of this work is to get an automatic decision for the quality of the production cycle. For the measurement pressure sensors are used within the cavity of the moulding tool. The sensor signals were sampled and analysed by an embedded diagnostic system that was integrated into the injection moulding tool.

: http://publica.fraunhofer.de/dokumente/N-426375.html