Dynamic multimode process monitoring using recursive GMM and KPCA in a hot rolling mill process

Metallurgically Consistent Determination of Steel Hot Strength Using Process Data from Hot Strip Mill Rolling

It is not rare to observe an inverse relationship between hot strength determined from rolling load of the finishing stands of the hot strip mill and strain. This situation was already described in the literature and is explained by the use of inverse rolling load models that assumes sticking friction in the determination of hot strength. The aim of this work was to show that this “work softeni...

Modeling of Hot Rolling Industrial Process Using Fuzzy Logic

Steel making is known as a complex manufacturing industrial process. Automation of the process represents a challenge. Empirical mathematical modeling of the process was used to design mill equipment, ensure productivity and service quality. This modeling approach shows many problems associated to complexity and time consumption. Soft computing techniques show significant modeling capabilities ...

Stiffness analysis method of rolling mill based on process data

A Review and Evaluation of Statistical Process Control Methods in Monitoring Process Mean and Variance Simultaneously

In this paper, first the available single charting methods, which have been proposed to detect simultaneous shifts in a single process mean and variance, are reviewed. Then, by designing proper simulation studies these methods are evaluated in terms of in-control and out-ofcontrol average run length criteria (ARL). The results of these simulation experiments show that the EWMA and EWMS methods ...

Multivariable controller design for a hot rolling mill