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Automatic detection and classification of internal and surface defects in high alloy strip

Objectif

Development and application of a method for detecting defects in hot-rolled strip using electro-magneto-acoustic means and Rayleigh waves. The aim is to increase the signal- to-noise ratio and thereby to detect and classify the defects according to their nature, size and orientation. The assembly constructed will be used on-line, in a high-alloy steel annealing and pickling line.

Appel à propositions

Data not available

Régime de financement

CSC - Cost-sharing contracts

Coordinateur

THYSSEN KRUPP NIROSTA GmbH
Contribution de l’UE
Aucune donnée
Adresse
Alleestrasse 165
44793 BOCHUM
Allemagne

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Coût total
Aucune donnée