IMS Measuring Systems for Metal Service Centres

IMS Messsysteme as the world market leader for non-contact measuring systems also offers Metal Service Centres an extensive product portfolio for various measuring tasks. Standard systems for: Centreline thickness measurement, flatness / levelness measurement, pinhole detection, sheet / plate geometry measurement, slit strip width measurement, width, hole, edge crack detection, as well as surface inspection cover the most common measuring tasks. The focus here lies on optical measuring systems, namely our patented Camera Cluster Systems (CCS) specially developed for use in Metal Service Centres. Radiometric and laser thickness gauges round off the product range. But that is not all! As a strong partner, IMS also offers development of custom solutions. Please contact us if you are interested! All systems measure inline over the entire length of the coil and from the first to the last sheet. The IMS quality data management system MEVInet-Q stores all measurement data as well as production and order data continuously, thereby enabling exact tracking and verification at any time. For 100% quality assurance, your end customers can receive automatically generated quality reports for every product delivered on request.

SURFACE INSPECTION

SURFACE INSPECTION SYSTEMS FOR METAL SERVICE CENTRES SURFACE INSPECTION SYSTEMS FOR METAL SERVICE CENTRES Surface Inspection System surcon 2D advanced Material Data max. speed (m/s): Width: up to 1,900 m/min for 0.4 mm length resolution not limited Certain defects change their appearance when viewed from different angles. The use of an additional dark field configuration takes advantage of this fact and results in even more precise defect detection. Parallel image acquisition ensures that no defect will be missed. The modular design of all IMS surcon 2D surface inspection systems allows the uncomplicated retrofitting of an additional dark field module. An additional high-resolution dark field module to highlight each defect is particularly recommended for the demanding surfaces in aluminium rolling mills. Length: Measuring System Data Configuration: Installation type: no restriction / continuous inspection possible 2D bright field and dark field fixed installation or movable C-frame Camera type: CMOS line scan camera / Gigabit Ethernet / Camera Link Illumination source: High Power LED 450 nm / 630 nm / white more than 500 W/m² at 500 mm working distance Typical working distance: 400-1,500 mm Performance Data Chip size / framerates: up to 8,192 pixels up to 140 kHz Typical resolution: 0.2 mm x 0.2 mm / 0.2 mm x 0.4 mm Measurement Task Image storage: Image storage capacity: defective areas in full resolution full background in reduced resolution short intervals can be stored in full resolution typical 60 TB • 100% online inspection with fast line scan cameras and high-performance LEDs • advanced automatic defect detection at different illumination angles • immediate detection of periodic defects indicating roll damage using all image channels Image type: Database: open, lossless compressed tiff format Microsoft SQL Server Special Features Evaluation • reliable IMS hardware and housing with integrated cooling ensure long-lasting and low-maintenance operation • customised solutions and individual adaptation to local conditions • optional, integrated blower to protect the system from dust, dirt and splash water and to reduce maintenance requirements • optionally available as C-frame for maximum convenience and easy maintenance in service position • powerful toolsets for performance optimisation and data analysis • apply surface inspection to each processing step for conclusive root cause analysis • online visualisation of results and report generation via customised results interface • integrated quality assessment tool – create your own rules for instant results evaluation Classification: Features for classification: Quality management: feature based, pre-trained AI parallel classification using multiple classifiers up to >750 feature values per defect (using both images) rule based quality grading 30 31