Application of Neural Networks for Quality Evaluation of Resistance Spot Welds

Ulrich Dilthey; Jörg Dickersbach

doi:10.2355/isijinternational.39.1061

ISIJ International

Online ISSN : 1347-5460
Print ISSN : 0915-1559
ISSN-L : 0915-1559

Application of Neural Networks for Quality Evaluation of Resistance Spot Welds

Ulrich Dilthey, Jörg Dickersbach

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Keywords: resistance spotwelding, quality evaluation, neural networks, steel, electrode wear, parameter variations

JOURNAL FREE ACCESS

1999 Volume 39 Issue 10 Pages 1061-1066

DOI https://doi.org/10.2355/isijinternational.39.1061

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Abstract

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.

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