Research on high precision profile control technique of silicon steel for UCM tandem cold rolling mill

2010 ◽  
Author(s):  
Wen-quan Sun ◽  
Quan Yang ◽  
Jian Shao ◽  
An-rui He ◽  
Ming-xi Li
Keyword(s):  
Cold Rolling ◽  
High Precision ◽  
Rolling Mill ◽  
Silicon Steel ◽  
Control Technique ◽  
Cold Rolling Mill ◽  
Tandem Cold Rolling ◽  
Profile Control

scholarly journals Silicon Steel Strip Profile Control Technology for Six-High Cold Rolling Mill with Small Work Roll Radius

Metals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 401
Author(s):  
Hainan He ◽  
Jian Shao ◽  
Xiaochen Wang ◽  
Quan Yang ◽  
Xiawei Feng
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Steel Strip ◽  
Work Roll ◽  
Rolling Process ◽  
Silicon Steel ◽  
Cold Rolling Mill ◽  
Strip Profile ◽  
Profile Control ◽  
Small Work

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.

FEM Analysis of Profile Control Capability during Rolling in a 6-High CVC Cold Rolling Mill

2014 ◽  
Vol 988 ◽  
pp. 257-262 ◽  
Author(s):  
Ke Zhi Linghu ◽  
Zheng Yi Jiang ◽  
Fei Li ◽  
Jing Wei Zhao ◽  
Meng Yu ◽  
...  
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Rolling Force ◽  
Fem Analysis ◽  
Continuous Variable ◽  
Cold Rolling Mill ◽  
Strip Rolling ◽  
Roll Bending ◽  
Profile Control ◽  
Control Capability

A 3D elastic-plastic finite element method (FEM) model of cold strip rolling for 6-high continuous variable crown (CVC) rolling mill was developed. The rolling force distributions were obtained by the internal iteration processes. The calculated error has been significantly reduced by the developed model. the absolute error between the simulated results and the actual values is obtained to be less than 10μm, and relative error is less than 1%. The developed model is significant in investigating the profile control capability of the CVC cold rolling mill in terms of work roll bending, intermediate roll bending and intermediate roll shifting.

Target Curve Setting Model for Automatic Flatness Control on Stand 5 of 2180 mm Tandem Cold Rolling Mill

2014 ◽  
Vol 665 ◽  
pp. 37-41 ◽  
Author(s):  
Guang Hui Yang ◽  
Jian Guo Cao ◽  
Jie Zhang ◽  
Hong Bo Li ◽  
Jie Zheng
Keyword(s):  
Cold Rolling ◽  
Temperature Stress ◽  
Rolling Mill ◽  
Cold Rolling Mill ◽  
Tandem Cold Rolling ◽  
Temperature Distributions ◽  
Strip Shape ◽  
Flatness Control ◽  
Transverse Temperature ◽  
Stress Compensation

Based on the theory of target curve, a method of improving flatness target curve is proposed. The transverse temperature distributions of strip are measured and described with a biquadratic expression, and the statistics method is used to analyze the temperature distributions. Finally, the additional temperature stress compensation is calculated to improve the strip shape.

The Integrated Robust Control of Interstand Strip Tension for Tandem Cold Rolling Mill

2010 ◽  
Vol 145 ◽  
pp. 230-237 ◽  
Author(s):  
Xiao Feng Zhang ◽  
Qing Dong Zhang ◽  
Meng Yu ◽  
Kang Jian Wang ◽  
Pei Jie Huang
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Controller Design ◽  
Integrated Control ◽  
Cold Rolling Mill ◽  
Tandem Cold Rolling ◽  
Synthesis Design ◽  
Tandem Cold Mill ◽  
Strip Quality ◽  
Cold Mill

We describe an integrated tension controller design for a tandem cold rolling mill in steel plants. To achieve stable rolling and ensure strip quality, it is very important to control the tension of the cold rolling mill. Previous researches examined only the operation of a single stand. But it is not sufficient to examine the operation and effect of whole stands because the operation is wholly interdependent. To solve the problem, this paper proposes an integrated control strategy for tension control of tandem cold mill, the full stand model for the tension system of a tandem cold mill is built, and the interaction of all the stands is analyzed. Then applying the method of μ-synthesis design a integrated robust tension controller. Simulation with the practical data proves the integrated robust tension controller can achieve more robust performance than that of typical industrial approach.

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.

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