Application of Neural Networks for Quality Evaluation of Resistance Spot Welds

Application of Neural Networks for Quality Evaluation of Resistance Spot Welds

A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of pre...

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Veröffentlicht in:ISIJ International 1999/10/15, Vol.39(10), pp.1061-1066
Hauptverfasser: Dilthey, Ulrich, Dickersbach, Jörg
Format: Artikel
Sprache:eng
Schlagworte:
electrode wear
neural networks
parameter variations
quality evaluation
resistance spotwelding
steel
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Beschreibung
Zusammenfassung:A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of preprocessed data from the course of welding current and voltage.
ISSN:0915-1559
1347-5460
DOI:10.2355/isijinternational.39.1061