Chaos Character of Deviation Signal and Prediction of Tail Deviation in Strip's Rolling

2011 ◽  
Vol 143-144 ◽  
pp. 658-663
Author(s):  
G.B. Wang ◽  
K. Wang ◽  
X.Q. Zhao

In strip tandem rolling process, there is always deviation between the center line of the strip and the assumed center line, which is called running deviation. In this thesis, based on the actual running deviation data of some aluminum strip rolling industry, we analyzed their chaos and fractal character, proposed one improved pattern classification based on the fuzzy c-average clustering, on basis of this method classified running deviation pattern, constructed adding weight zero-order local prediction method of strip truning deviation signal. After the s actual data test, the forecasting result achieves the desired accuracy.

2020 ◽  
Vol 10 (1) ◽  
pp. 386-393
Author(s):  
Henna Tiensuu ◽  
Satu Tamminen ◽  
Olli Haapala ◽  
Juha Röning

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.


2015 ◽  
Vol 1095 ◽  
pp. 786-794
Author(s):  
A.B. Naizabekov ◽  
V.A. Talmazan ◽  
S.N. Lezhnev ◽  
E.A Panin ◽  
А.S. Erzhanov ◽  
...  

Used the influence of technological factors of the rolling process on the intensity of the rolling out of the defect to determine the value of deformation and the coefficient of use of the plasticity resource. Introduced the notion of residual coefficient of plasticity resource in the second stage of transformation of the defect. Found that the causes of deterioration of the quality of cold-rolled sheet can be numerous defects of mechanical origin, caused by mechanical damage of the sheet surface. Conducted an analysis of profiles rolling modes, rolled on the mill 1700. With the use of existing methods calculated DUPR on workshop modes of rolling of specified profiles with and without considering the surface defects. Carried an optimization of the modes of strip rolling with surface defects.


2019 ◽  
Vol 946 ◽  
pp. 818-822 ◽  
Author(s):  
Nikita S. Deryabin

The hot deformation behavior of the Inconel alloy 625 was investigated through compression test within the temperature range of 850–1250 °C and the strain rate range of 0.1–30 s−1. Physically based mathematical model involving dynamic recovery and dynamic recrystallization processes has been proposed. Mathematical model allowed to calculate technological parameters of a rolling process of the “Inconel 625” at the hot rolling mill 2300. The pilot rolling operations showed that the possibility of the “Inconel 625” production exists. But it is necessary to provide the design changes of the cooling system of the work rolls. The article addressed the cracking behavior of nickel alloys in industries such as chemical process, nuclear generation, aircraft engine production.


2004 ◽  
Vol 90 (11) ◽  
pp. 941-946 ◽  
Author(s):  
Yoshiro WASHIKITA ◽  
Yasunori KADOYA ◽  
Kazuyoshi KIMURA

1998 ◽  
Vol 120 (1) ◽  
pp. 93-100 ◽  
Author(s):  
Der-Form Chang

The two-dimensional heat transfer between the strip and rolls in strip rolling is modeled by one-dimensional heat conduction equations adopting Lagrangian coordinate systems on the contact surfaces. Finite difference formulations are used in the rolling direction and analytical solutions are applied normal to this direction, making computation more efficient. Heat transfer in the sticking region is considered. The influence of real area of contact on heat transfer is also taken into account, resulting in a method capable of modeling the strip rolling process operated in any of several different lubrication regimes. This method provides good temperature predictions.


Author(s):  
Carlos Arturo Vega Lebrún ◽  
Rumualdo Servin Castañeda ◽  
Genoveva Rosano Ortega ◽  
Juan Manuel Lopez ◽  
José Luis Cendejas Valdéz ◽  
...  

1999 ◽  
Vol 40 (4) ◽  
pp. 433-438 ◽  
Author(s):  
P.J. Hurley ◽  
P.D. Hodgson ◽  
B.C. Muddle

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