23/11/2023 – First-ever artificial intelligence solution for detecting strip cross cracks
Primetals pioneers computer-vision-based artificial intelligence to reduce downtime
Primetals Technologies has implemented a digital assistant for detecting strip cross cracks at Thyssenkrupp Hohenlimburg’s medium-wide hot-strip mill in Hagen, Germany. This digital assistant is Primetals Technologies first-ever computer-vision-based solution designed for this specific purpose.
When cracks are detected early in the process, both unnecessary downtime and damage to equipment can be avoided. © Primetals
The digital assistant uses AI to detect strip cross cracks and instantly alerts operators to such defects. © Primetals
Reduced downtime
The main benefits for Thyssenkrupp are a reduction in downtime and wear related to the rolls of the hot strip mill. When a slab carries a cross-crack, it becomes visible in the roughing mill, and the size of the crack increases after each pass. When the transfer bars then enter the finishing mill, the crack may spread, further increase in size, and create holes in the rolled material. In the worst case, a defect like this can lead to cobbles in the finishing mill, with the risk of damaging the work rolls, backup rolls, and other production equipment.
To prevent transfer bars carrying strip cross cracks from entering the finishing mill, the cracks must be detected as early as possible in the process. In that way, operators can take action before a crack leads to equipment damage.
Instant alert
A camera located on the exit side of the roughing mill provides Primetals Technologies’ digital assistant with a live video stream. With the help of a machine learning model, which represents technology powered by artificial intelligence, the assistant processes the stream and checks for cracks. When the assistant detects a crack, it instantly alerts the operators. In addition, the information is transferred to the customer's intelligent business automation system for further analysis.
At Thyssenkrupp Hohenlimburg, the digital assistant system will continuously optimise its performance, as it is self-learning and capable of identifying new types of cracks.
