scholarly journals Commercial Development of a Process for Continuous Reduction of Mill Scale on Hot Rolled Strip Steel

2000 ◽  
Author(s):  
E Franco-Ferreira ◽  
S Feldbauer
Keyword(s):  
Rolled Strip ◽  
Commercial Development ◽  
Strip Steel ◽  
Mill Scale ◽  
Hot Rolled Strip ◽  
Hot Rolled

scholarly journals An improved Vision Transformer-based method for classifying surface defects in hot-rolled strip steel

2021 ◽  
Vol 2082 (1) ◽  
pp. 012016
Author(s):  
Xinglong Feng ◽  
Xianwen Gao ◽  
Ling Luo
Keyword(s):  
Surface Defect ◽  
Surface Defects ◽  
Steel Strip ◽  
Learning Ability ◽  
Rolled Strip ◽  
Strip Surface ◽  
Strip Steel ◽  
Hot Rolled Strip ◽  
Hot Rolled ◽  
Improved Algorithm

Abstract A new Vision Transformer(ViT) model is proposed for the classification of surface defects in hot rolled strip, optimizing the poor learning ability of the original Vision Transformer model on smaller datasets. Firstly, each module of ViT and its characteristics are analyzed; Secondly, inspired by the deep learning model VGGNet, the multilayer fully connected layer in VGGNet is introduced into the ViT model to increase its learning capability; Finally, by performing on the X-SDD hot-rolled steel strip surface defect dataset. The effect of the improved algorithm is verified by comparison experiments on the X-SDD hot-rolled strip steel surface defect dataset. The test results show that the improved algorithm achieves better results than the original model in terms of accuracy, recall, F1 score, etc. Among them, the accuracy of the improved algorithm on the test set is 5.64% higher than ViT-Base and 2.64% higher than ViT-Huge; the accuracy is 4.68% and 1.36% higher than both of them, respectively.

Strain-induced precipitation behaviour in hot rolled strip steel

2001 ◽  
Vol 299 (1-2) ◽  
pp. 27-37 ◽  
Author(s):  
E.V Pereloma ◽  
B.R Crawford ◽  
P.D Hodgson
Keyword(s):  
Rolled Strip ◽  
Strip Steel ◽  
Hot Rolled Strip ◽  
Precipitation Behaviour ◽  
Hot Rolled

The Optimization Plastic Coefficient in AWC Research and Application

2014 ◽  
Vol 941-944 ◽  
pp. 1221-1224
Author(s):  
Fang Chen Yin ◽  
Geng Sheng Ma ◽  
Jia Xue Yu ◽  
Ya Feng Ji ◽  
Bo Wang ◽  
...  
Keyword(s):  
Control System ◽  
Linear Prediction ◽  
Rolled Strip ◽  
Steel Product ◽  
Strip Steel ◽  
Hot Rolled Strip ◽  
Main Factors ◽  
Input Variables ◽  
Plasticity Coefficient ◽  
Hot Rolled

Aimed at the main factors of hot rolled strip steel product width fluctuation, rolled piece is put forward to plasticity coefficient and entrance width as the input variables of feedforward AWC control algorithm.Expounds a kind of optimization of plasticity coefficient Q feedforward AWC control system principle and plasticity coefficient Q of linear prediction algorithm.Field application shows that the Q prediction feedforward AWC has significant effect on inhibition of hot rolled strip width deviation.

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