scholarly journals Application of artificial neural networks for the prediction of roll force and roll torque in hot strip rolling process

2013 ◽  
Vol 37 (7) ◽  
pp. 4593-4607 ◽  
Author(s):  
Mahdi Bagheripoor ◽  
Hosein Bisadi
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Rolling Process ◽  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Roll Torque ◽  
Hot Strip ◽  
Artificial Neural

scholarly journals A New Data-driven Roll Force and Roll Torque Model Based on FEM and Hybrid PSO-ELM for Hot Strip Rolling

2019 ◽  
Vol 59 (9) ◽  
pp. 1604-1613 ◽  
Author(s):  
Zhenhua Wang ◽  
Dianhua Zhang ◽  
Dianyao Gong ◽  
Wen Peng
Keyword(s):  
Data Driven ◽  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Model Based ◽  
Roll Torque ◽  
Hot Strip

Mathematical modelling of roll wear in a tandem mill hot strip rolling process

2013 ◽  
Vol 4 (1) ◽  
pp. 56
Author(s):  
Carlos Arturo Vega Lebrún ◽  
Rumualdo Servin Castañeda ◽  
Genoveva Rosano Ortega ◽  
Juan Manuel Lopez ◽  
José Luis Cendejas Valdéz ◽  
...  
Keyword(s):  
Mathematical Modelling ◽  
Rolling Process ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Hot Strip ◽  
Roll Wear

Roll-Force and Torque Coefficients for Hot-Strip Steel Mill

1960 ◽  
Vol 82 (3) ◽  
pp. 683-688
Author(s):  
B. N. Garudachar ◽  
H. A. Peterson
Keyword(s):  
Rolling Mill ◽  
Roll Force ◽  
Steel Mill ◽  
Strip Rolling ◽  
Steel Rolling ◽  
Strip Steel ◽  
Roll Torque ◽  
Hot Strip ◽  
Flat Strip ◽  
Cold Mill

This paper provides results of an analytical and computer investigation to determine the numerical coefficients involved in the roll-force and roll-torque equations pertaining to a single stand in a multistand, tandem, steel rolling mill. To the authors’ knowledge, such information has not appeared in the literature to date. The coefficients for a typical hot mill are compared with those obtained for a typical cold mill. The principles of gage control are discussed. The theories on flat-strip rolling are reviewed briefly.

Artificial Neural Networks for Microstructure Analysis of Rolling Process

2002 ◽  
Vol 2 (1) ◽  
pp. 65-68
Author(s):  
I.M. Qureshi . ◽  
A. Naveed . ◽  
T.A. Cheema . ◽  
A. Jalil .
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Rolling Process ◽  
Microstructure Analysis ◽  
Artificial Neural

Friction Estimation and Roll Force Prediction during Hot Strip Rolling

2016 ◽  
Vol 23 (12) ◽  
pp. 1268-1276 ◽  
Author(s):  
Wei-gang Li ◽  
Chao Liu ◽  
Ning Feng ◽  
Xi Chen ◽  
Xiang-hua Liu
Keyword(s):  
Roll Force ◽  
Hot Strip Rolling ◽  
Strip Rolling ◽  
Force Prediction ◽  
Hot Strip ◽  
Friction Estimation
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