scholarly journals A Novel On-Line Model for the Prediction of Strip Profile in Cold Rolling

2020 ◽  
Vol 60 (2) ◽  
pp. 308-317
Author(s):  
Seung Yeon Nam ◽  
Ahmad Zamanian ◽  
Tae Jin Shin ◽  
Sang Moo Hwang
2021 ◽  
Vol 38 (12) ◽  
pp. 943-951
Author(s):  
Min Sik Chu ◽  
Hyun Ah Kim ◽  
Kyu Jong Lee ◽  
Ji Hoon Kang

Metals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 401
Author(s):  
Hainan He ◽  
Jian Shao ◽  
Xiaochen Wang ◽  
Quan Yang ◽  
Xiawei Feng

Due to the requirement of magnetic properties of silicon steel sheets, producing high-precision size strips is the main aim of the cold rolling industry. The tapered work roll shifting technique of the six-high cold rolling mill is effective in reducing the difference in transverse thickness of the strip edge, but the effective area is limited, especially for a high crown strip after the hot rolling process. The six-high mill with a small work roll size can produce a strip with higher strength and lower thickness under a smaller rolling load. At the same time, the profile of the strip can be substantially improved. By advancing a well-established analytical method, a series of simulation analyses are conducted to reveal the effectiveness of a small work roll radius for the strip profile in the six-high cold rolling process. Through the analysis of flattening deformation and deflection deformation on the load, the change rule of the strip profile produced by the work roll with a small roll diameter can be obtained. Combined with theoretical analysis and industrial experiments, it can be found that the improvement effect of the small work roll radius on the profile of the silicon strip is as significant.


2003 ◽  
Author(s):  
A. Mukhopadhyay ◽  
S. Sikdar ◽  
S. Sen

A Mathematical model has been developed to predict the temperature profile of the strip during water-cooling on the Run-out Table (ROT) of the Hot Strip Mill (HSM). This work describes the development and implementation of the model at Tisco’s HSM. The model has been developed using Explicit Finite Difference technique to predict the coiling temperature (CT). The model has been implemented successfully after having been validated with the actual coiling temperature (CT) for several thousand coils. A number of grades of steel with various thicknesses have been tested with this on-line model and the agreement of actual CT with the predicted ones was found very good. The on-line model is used to calculate the cooling rates at different segments of the strip that are used to obtain microstructure and mechanical properties.


AIChE Journal ◽  
2016 ◽  
Vol 63 (3) ◽  
pp. 949-966 ◽  
Author(s):  
Anas Alanqar ◽  
Helen Durand ◽  
Panagiotis D. Christofides

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