scholarly journals Rolling Schedule Multi-objective Optimizationbased on Influence Function for Thin Gauge Steel Strip in Tandem Cold Rolling

2016 ◽  
Vol 23 (6) ◽  
pp. 2663-2672 ◽  
Author(s):  
H.N. Bu ◽  
Z.W. Yan ◽  
D.H. Zhang ◽  
S.Z. Chen
Keyword(s):  
Cold Rolling ◽  
Influence Function ◽  
Steel Strip ◽  
Rolling Schedule ◽  
Multi Objective ◽  
Tandem Cold Rolling

Multi-Objective Optimization for Tandem Cold Rolling Schedule

2010 ◽  
Vol 17 (11) ◽  
pp. 34-39 ◽  
Author(s):  
Jing-ming Yang ◽  
Qing Zhang ◽  
Hai-jun Che ◽  
Xin-yan Han
Keyword(s):  
Cold Rolling ◽  
Multi Objective Optimization ◽  
Rolling Schedule ◽  
Multi Objective ◽  
Tandem Cold Rolling

scholarly journals Investigation and Optimization of Load Distribution for Tandem Cold Steel Strip Rolling Process

Metals ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 677 ◽  
Author(s):  
Xin Jin ◽  
Changsheng Li ◽  
Yu Wang ◽  
Xiaogang Li ◽  
Yongguang Xiang ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Cold Rolling ◽  
Prediction Model ◽  
Load Distribution ◽  
Rolling Mill ◽  
Fitness Function ◽  
Steel Strip ◽  
Rolling Process ◽  
Cold Rolling Mill ◽  
Tandem Cold Rolling

In order to improve the cold rolled steel strip flatness, the load distribution of the tandem cold rolling process is subject to investigation and optimization. The strip deformation resistance model is corrected by an artificial neural network that is trained with the actual measured data of 4500 strip coils. Based on the model, a flatness prediction model of strip steel is established in a five-stand tandem cold rolling mill, and the precision of the flatness prediction model is verified by rolling experiment data. To analyze the effect of load distribution on flatness, the flatness of stand 4 is calculated to be 7.4 IU, 10.6 IU, and 16.8 IU under three typical load distribution modes. A genetic algorithm based on the excellent flatness is proposed to optimize the load distribution further. In the genetic algorithm, the classification of flatness of stand 4 calculated by the developed flatness prediction model is taken as the fitness function, with the optimal reduction of 28.6%, 34.6%, 27.3%, and 18.6% proposed for stands 1, 2, 3, and 4, respectively. The optimal solution is applied to a 1740 mm tandem cold rolling mill, which reduce the flatness classification from 10.8 IU to 3.2 IU for a 1-mm thick steel strip.

scholarly journals Analysis of the Reasons for the Tearing of Strips of High-Strength Electrical Steels in Tandem Cold Rolling

Materials ◽  
2021 ◽  
Vol 14 (23) ◽  
pp. 7124
Author(s):  
Ivan Petryshynets ◽  
František Kováč ◽  
Ladislav Falat
Keyword(s):  
Cold Rolling ◽  
High Speed ◽  
High Efficiency ◽  
Steel Strip ◽  
High Strength ◽  
Bimodal Distribution ◽  
Dislocation Motion ◽  
Temper Rolling ◽  
Final Thickness ◽  
Tandem Cold Rolling

High-strength non-oriented electro-technical steels with a low thickness possess excellent isotropy of electromagnetic and mechanical properties which is highly required in the production of high-efficiency electric motors. The manufacturing process of this type of steel includes very important and technologically complex routes such as hot rolling, cold rolling, temper rolling, or final heat treatment. The final thickness is responsible for the decrease in eddy-current losses and is effectively achieved during cold rolling by the tandem rolling mill. Industrial production of thin sheets of high-strength silicon steels in high-speed tandem rolling mills is a rather demanding technological operation due to the increased material brittleness that is mainly caused by the intensive solid solution and deformation strengthening processes, making the dislocation motion more complex. The main objective of this work was to investigate the distribution of local mechanical strains through the thickness of high silicon steel hot bands, generated during the cold rolling. The experimental samples were analysed by means of electron back-scattered diffraction and scanning electron microscopy. From the performed analyses, the correlation between the material workability and the nucleation of cracks causing the observed steel strip failure during the tandem cold rolling was characterized. Specifically, the microstructural, textural, misorientation, and fractographic analyses clearly show that the investigated hot band was characterized by a bimodal distribution of ferrite grains and the formation of intergranular cracks took place only between the grains with recrystallized and deformed structures.

Application of case-based reasoning-Tabu search hybrid algorithm for rolling schedule optimization in tandem cold rolling

2018 ◽  
Vol 35 (1) ◽  
pp. 187-201 ◽  
Author(s):  
He-nan Bu ◽  
Zhu-wen Yan ◽  
Dian-Hua Zhang
Keyword(s):  
Global Optimization ◽  
Tabu Search ◽  
Cold Rolling ◽  
Hybrid Algorithm ◽  
Initial Solution ◽  
Case Based Reasoning ◽  
Rolling Schedule ◽  
Content Type ◽  
Tandem Cold Rolling ◽  
Case Based

Purpose The purpose of this study is to improve the global optimization ability of the Tabu search (TS) algorithm, and then improve the calculation efficiency and accuracy of rolling schedule in tandem cold rolling. Design/methodology/approach A case-based reasoning–Tabu search hybrid algorithm (CBRTS) has been presented. First, the case-based reasoning technology was adopted to obtain high-quality initial solution and then the TS algorithm was used for global optimization. Findings The optimization effect of CBRTS is compared with that of the traditional TS algorithm, and the analysis result indicates that the CBRTS has a faster convergence rate than TS, and the optimization results are closer to the global optimal. Meanwhile, the rolling schedule calculated by CBRTS is more reasonable, which can increase the production efficiency while giving full play to the capacity of equipment. Originality/value A CBRTS hybrid algorithm is presented. The strong dependence of the TS algorithm on the initial solution has been solved. The rolling schedule multi-objective optimization functions are established. The proposed algorithm is applied in a 1,450-mm tandem cold rolling production line. The improved method can reduce about half the iterations compared with the traditional one.

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