AI-Controlled Product Changes at Cold Rolling Mills Significantly Improves Performance

The paper describes how an expert system automatically calculates the optimum strategy for all product changes, i.e., the optimum combined method of operation from the technology clusters such as strip flatness, strip thickness, etc. The next step, therefore, is to supply digital artificial intelligence systems to provide a forecast for the optimal product change strategy.<br/>As soon as the artificial intelligence provides a sufficient hit rate in its prediction, it generates commands for level 1 and level 2 systems to add value in the form of an improved off-gauge length for strip flatness and thickness and increased product change stability.

Jörn Sieghart | SMS group
 

Klaus Pronold | SMS group
 

Christian Pfeifer | SMS group
 

Rachid Barkouta | SMS group