Online prediction of work roll thermal expansion in a hot rolling process by a neural network

2015 ◽  
Vol 85 (5-8) ◽  
pp. 1769-1777 ◽  
Author(s):  
Hosein Alaei ◽  
Mahmoud Salimi ◽  
Amir Nourani
1995 ◽  
Vol 117 (3) ◽  
pp. 341-346 ◽  
Author(s):  
Zone-Ching Lin ◽  
Y. C. Cheng

The paper is an investigation of strip curvature caused by the different speeds between the upper work roll and the lower work roll in the rolling process for an aluminum strip. At the same time, we analyzed the variations in the temperature field and strain field, and used a method of speeds variation of the upper and lower work rolls to calibrate the deformation curvature caused by the coolant condition in the hot rolling process. Based on the large deformation-large strain theory, and by means of the Updated Lagrangean Formulation (ULF) and increment theory, a coupled thermoelastic-plastic analysis model for hot rolling process is thus constructed. At the same time the finite difference method was also used to solve the transient heat transfer equation. Finally, the numerical analysis method developed in this study was employed to analyze the changes in the aluminum strip’s temperature and other changes during rolling. In addition, the average rolling force obtained from the simulation was compared with that from the experiments. It verified that the model in this study is reasonable.


2004 ◽  
Vol 37 (15) ◽  
pp. 17-22
Author(s):  
Ertan Öznergiz ◽  
Kayhan Gülez ◽  
Can Özsoy ◽  
Ayhan Kural

2018 ◽  
Vol 97 (9-12) ◽  
pp. 3453-3458 ◽  
Author(s):  
Yanlin Li ◽  
Jianguo Cao ◽  
Lan Qiu ◽  
Guanghui Yang ◽  
Anrui He ◽  
...  

2010 ◽  
Vol 3 (1) ◽  
pp. 65-71
Author(s):  
Armindo Guerrero ◽  
Javier Belzunce ◽  
Covadonga Betegon ◽  
Julio Jorge ◽  
Francisco J. Vigil

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