Optimum Work Roll Profile Selection in the Hot Rolling of Wide Steel Strip Using Computational Intelligence

1999 ◽  
pp. 435-452 ◽  
Author(s):  
Lars Nolle ◽  
Alun Armstrong ◽  
Adrian Hopgood ◽  
Andrew Ware
Keyword(s):  
Hot Rolling ◽  
Computational Intelligence ◽  
Steel Strip ◽  
Work Roll ◽  
Roll Profile

HSS work roll wear prediction model for non-oriented electrical steel strip in hot rolling

2013 ◽  
Author(s):  
Jian-guo Cao ◽  
◽  
Jian-yong Cao ◽  
Hong-bo Li ◽  
Dong Qiang ◽  
...  
Keyword(s):  
Prediction Model ◽  
Hot Rolling ◽  
Electrical Steel ◽  
Steel Strip ◽  
Work Roll ◽  
Wear Prediction ◽  
Roll Wear

Research on ASR work roll contour suitable for all width electrical steel strip during hot rolling process

2018 ◽  
Vol 97 (9-12) ◽  
pp. 3453-3458 ◽  
Author(s):  
Yanlin Li ◽  
Jianguo Cao ◽  
Lan Qiu ◽  
Guanghui Yang ◽  
Anrui He ◽  
...  
Keyword(s):  
Hot Rolling ◽  
Electrical Steel ◽  
Steel Strip ◽  
Work Roll ◽  
Rolling Process ◽  
Hot Rolling Process

scholarly journals Intelligent methods for root cause analysis behind the center line deviation of the steel strip

2020 ◽  
Vol 10 (1) ◽  
pp. 386-393
Author(s):  
Henna Tiensuu ◽  
Satu Tamminen ◽  
Olli Haapala ◽  
Juha Röning
Keyword(s):  
Hot Rolling ◽  
Steel Strip ◽  
Decision Support Tool ◽  
Rolling Process ◽  
Statistical Prediction ◽  
Center Line ◽  
Quality Model ◽  
Critical Feature ◽  
Support Tool ◽  
Shape Errors

AbstractThis article presents a statistical prediction model-based intelligent decision support tool for center line deviation monitoring. Data mining methods enable the data driven manufacturing. They also help to understand the manufacturing process and to test different hypotheses. In this study, the original assumption was that the shape of the strip during the hot rolling has a strong effect on the behaviour of the steel strip in Rolling, Annealing and Pickling line (RAP). Our goal is to provide information that enables to react well in advance to strips with challenging shape. In this article, we show that the most critical shape errors arising in hot rolling process will be transferred to critical errors in RAP-line process as well. In addition, our results reveal that the most critical feature characterizes the deviation better than the currently used criterion for rework. The developed model enables the user to understand better the quality of the products, how the process works, and how the quality model predicts and performs.

scholarly journals Finite elements prediction of thermal stresses in work roll of hot rolling mills

2010 ◽  
Vol 2 (1) ◽  
pp. 707-716 ◽  
Author(s):  
D. Benasciutti ◽  
E. Brusa ◽  
G. Bazzaro
Keyword(s):  
Finite Elements ◽  
Hot Rolling ◽  
Thermal Stresses ◽  
Work Roll ◽  
Rolling Mills
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