Detecção de rebarbas em chapas de aço
For the production of steel slabs as semi-finished products intended for further processing, molten steel is poured in a controlled manner into a cooled mold.
This mold determines the cross-section of the slab. Cutting of the slabs is done with flame cutters in the cutting and slitting line. The flame cutting operation causes a flow of slag.
When cutting steel slabs, there is a flow of slag which can solidify as burrs on the underside of the slab, or it is flattened against or rolled into the bottom of the slab during further conveying on the roller tracks. The removal of this burr is critical.
In the downstream process the slabs are also run through an automatic deburring machine for removal of protruding ridges. Depending on the steel grade of the slabs, however, these ridges may be very flat, so that the slab edges cannot always be completely deburred.
Currently used systems have not proven reliable for residual burr detection. The use of an innovative thermal imaging system, on the contrary, ensures residual burr detection after the slab-cutting process with 100% reliability.
Our Solution for accurate detection of burrs
Stationary thermographic measuring system with intelligent image processing
The use of the MIKRON MC320 Series thermal imaging system ensures residual burr detection after the slab-cutting process. It allows users to accurately detect temperature differences between slab and burrs through the use of 76,800-pixel high-resolution cameras.
The MIKRON MC320 Series thermal imagers enable real-time display of image sequences and evaluation of temperature information in specific regions (regions of interest) using LumaSpec™ RT software.
Users can also transfer data to a higher level control unit for removal of bad slabs from the process (using digital or analog output modules and TCP/IP protocols).
In addition, rugged enclosures with air purge and cooling are available for harsh industrial environments.
It also ensures continuous high quality to assist in avoiding costly customer complaints.