Strip Width Control Technology for Cold Tandem Mill

Predicting Strip Tearing in Cold Rolling Tandem Mill using Neural Network

Strip tearing during cold rolling process has always been considered among the main concerns for steel companies, while several works have been done so far regarding the examination of this issue. In this paper, experimental data from cold rolling tandem mill is used for detecting strip tearing. Sensors are placed across the cold rolling tandem mill, to collect information on parameters (such a...

predicting strip tearing in cold rolling tandem mill using neural network

strip tearing during cold rolling process has always been considered among the main concerns for steel companies. several works have been done so far regarding the examination of the issue. in this paper, experimental data from cold rolling tandem mill is used for detecting strip tearing. sensors are placed across the cold rolling tandem mill. they receive information on parameters (such as ang...

Binary Decision Tree Using Genetic Algorithm for Recognizing Defect Patterns of Cold Mill Strip

This paper presents a method to recognize the various defect patterns of a cold mill strip using a binary decision tree constructed by genetic algorithm(GA). In this paper, GA was used to select a subset of the suitable features at each node in the binary decision tree. The feature subset with maximum fitness is chosen and the patterns are divided into two classes using a linear decision functi...

Mill Control System and Method for Control of Metal Strip Rolling

High-tech for Thin Sheet Modernization of a Tandem Cold Rolling Mill at Arcelor Eisenhüttenstadt