KOCKS MEASURE + INSPECT GMBH & Co. KG
Neustraße 69
40721 Hilden, Germany
LAP Measurement Technology GmbH
Zeppelinstraße 23
21337 Lüneburg, Germany
Experience the new dimension of quality measurement and unleash your competitive edge! The
At the start of Wire & Tube 2024 in Düsseldorf, KOCKS and LAP present the jointly developed
Steel producer Saarstahl AG has commissioned the
KOCKS Measure + Inspect GmbH & Co. KG and LAP Measurement Technology GmbH have announced a far-reaching strategic cooperation.
Learn more4D EAGLE S is a measuring system that combines surface inspection and profile measurement of long products (SBQ) in the steel industry in one system.
It was time to set a new standard for profile measurement and surface inspection solutions. With the jointly developed system, manufacturers of long products can continuously monitor the quality of the end product and immediately optimize the rolling process if defects are detected.
LAP and KOCKS have jointly developed 4D EAGLE S , offering customers worldwide the combined expertise of two market leaders.
4D EAGLE S captures the complete profile of different long products during production and automatically classifies surface defects.
The system uses the laser light section method to capture the shape of the rolled material production seamlessly.
The system can detect and classify singular and periodic surface defects.
The classification allows rolling mill operators to take targeted troubleshooting measures and adjust rolling parameters.
The data from the system contributes to enhanced end-to-end quality control in production processes.
Precise contour measurement reduces offline sample cuts and thus lowers quality assurance costs. Thanks to the accurate measurement, trimming is carried out with greater precision. Active control through precise measurement of the dimension. Adjust the roll gap based on the measured values.
Precise measurement increases the reliability of production within the specified tolerance band after product changes.
Artificial Intelligence (AI) is used to classify surface defects; Machine learning methods allow the system to be adapted to specific requirements.
The system offers standardized interfaces like OPC UA and enables quality data integration for cross-process use in the Smart Factory.
Planned developments include further applications for different geometries of rolling goods and root cause analyses features.