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Quantification of defects in CFRP plates using Lock-In thermography and artificial neural networks
; ; ;
In
[Euspen's 20th International Conference & Exhibition, EUSPEN ICE2020, 2020-06-08 - 2020-06-12, Geneva, Switzerland]
2020
Online
URL: https://www.euspen.eu/knowledge-base/ICE20226.pdf
Einrichtungen
- Werkzeugmaschinenlabor WZL der RWTH Aachen (417200)
- Lehrstuhl für Fertigungsmesstechnik und Qualitätsmanagement (417510)
External link: 
Fulltext
Dokumenttyp
Contribution to a conference proceedings
Format
online, print
Sprache
English
Anmerkung
Peer reviewed article
Interne Identnummern
RWTH-2021-00313
Datensatz-ID: 810007
Beteiligte Länder
Germany
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