Adaptive Learning Prediction on Rolling Force in the Process of Reversible Cold Rolling Mill

2012 ◽  
pp. 66-75 ◽  
Author(s):  
Gang Zheng ◽  
Zhe Yang ◽  
Rui Cao ◽  
Wenhua Zhang ◽  
Haowen Li
Keyword(s):  
Cold Rolling ◽  
Adaptive Learning ◽  
Rolling Mill ◽  
Rolling Force ◽  
Cold Rolling Mill

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.

scholarly journals Analysis of Startup Process and Its Optimization for a Two-Stand Reversible Cold Rolling Mill

2017 ◽  
Vol 2017 ◽  
pp. 1-10
Author(s):  
Guangming Liu ◽  
Yugui Li ◽  
Qingxue Huang ◽  
Xia Yang ◽  
Aimin Liu
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Impact Force ◽  
Rolling Force ◽  
Control Mode ◽  
Static Tension ◽  
Characteristic Analysis ◽  
Cold Rolling Mill ◽  
Startup Process ◽  
Tension Increase

Dynamic characteristic analysis of a two-stand reversible cold rolling mill in the startup process was carried out. The delay algorithm of the interstand thickness was proposed. A new method combined with the accelerated secant and the tangent methods was established to solve the simultaneous equations. The thickness and interstand tension transition processes with different static tension establishing processes were analyzed. Both mills were operated under constant rolling force control mode in the above process. The results show that the strip thickness in the rolling gap reduces in the static mill screwdown process. The entry stand runs inversely to establish the static interstand tension. This area becomes an abnormal thickness reduction area of the incoming strip. It results in several abnormal interstand tension increases in the subsequent startup process. The tension increase leads to an impact force on the strip that is the main reason of the strip breakage in the startup process. So the static tension establishing process was optimized, and the interstand tension fluctuation and the strip breakage accidents both reduced significantly. The results are beneficial to the startup process of the two-stand reversible cold rolling mill.

Adaptive Learning of Bending Force Presetting Model in a Six-High Cold Rolling Mill

2011 ◽  
Vol 291-294 ◽  
pp. 601-605
Author(s):  
Jin Lan Bai ◽  
Jun Sheng Wang
Keyword(s):  
Cold Rolling ◽  
Adaptive Learning ◽  
Rolling Mill ◽  
Legendre Polynomials ◽  
Work Roll ◽  
Practical Application ◽  
Cold Rolling Mill ◽  
Bending Force ◽  
Roll Bending ◽  
Exponential Method

In this paper, adaptive learning method of bending force presetting model in a six-high cold rolling mill is introduced. Adaptive learning coefficient of bending force presetting model is calculated by contrast between measured and model calculated actual bending force, then exponential method is used to modify the adaptive learning coefficient to improve the precision of the bending force presetting model. While calculating model calculated actual bending force, Legendre polynomials are used to convert measured flatness data to quadratic and quartic flatness coefficient, then regulating quantity on the quadratic flatness coefficient of intermediate roll bending force and work roll bending force is determined based on their regulate capability. Practical application shows that precision of the bending force presetting model has improved significantly by adaptive learning.

Design of a Semi-Real Simulation Platform for the Cold Rolling Mill

2013 ◽  
Vol 395-396 ◽  
pp. 1243-1247
Author(s):  
Gang Zheng ◽  
Bin Ma ◽  
Zhe Yang ◽  
Ding Liu
Keyword(s):  
Control System ◽  
Cold Rolling ◽  
Rolling Mill ◽  
Rolling Force ◽  
Milling Process ◽  
Simulation System ◽  
Simulation Platform ◽  
Cold Rolling Mill ◽  
Online Data ◽  
Simulation Results

We designed a semi-real simulation platform for the cold rolling mill that was composed of Simulation Computer, Simulation System of Field Signal, AGC Control System, Console of Rolling Mill and the Main Control Computer, and built the mathematical models in the Simulation Comuter, for the hydraulic servo system, rolling force and thickness of strip material. In the platform, the Simulation System of Field Signal output the simulation data as standard sensor signal; the AGC Control System is the same as that used in real rolling mill system. We simulated the milling process of real rolling mill system at this platform using the field-recorded online data. The differences between simulation results and those in real system were small. Simulation results show that this simulation platform can be used in the research and optimization of rolling mill control system.

Model Adaptive Learning in Process Control of Strip Cold Rolling

2013 ◽  
Vol 423-426 ◽  
pp. 775-779
Author(s):  
Jin Lan Bai ◽  
Xiang Li ◽  
Jun Sheng Wang
Keyword(s):  
Process Control ◽  
Cold Rolling ◽  
Adaptive Learning ◽  
Rolling Mill ◽  
Calculated Data ◽  
Processing Parameters ◽  
Learning Program ◽  
Cold Rolling Mill ◽  
Line Process ◽  
Data Adaptive

In this paper, mathematic models of processing parameters and their adaptive learning principle in strip cold rolling mill are introduced. Exponential smoothing method is used during model adaptive learning. According to the contrast between actual and calculated data, adaptive learning coefficients in the process control models are modified, thus the precision of presetting model is improved. Based on three kinds of adaptive learning modes, corresponding model adaptive learning program is developed for strip cold rolling. The practical application shows that the accuracy of this method can meet the requirement of on-line process control, and it is suitable for process control in strip cold rolling mill.

Analysis of rolling force model in cold rolling mill

2009 ◽  
Vol 106 (2) ◽  
pp. 69-73 ◽  
Author(s):  
Y. Li ◽  
Z. Jiang ◽  
F. Li
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Rolling Force ◽  
Force Model ◽  
Cold Rolling Mill

scholarly journals Research on Shape Control Characteristics of Non-oriented Silicon Steel for UCMW Cold Rolling Mill

Metals ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. 1066
Author(s):  
Hao Tao ◽  
Hongbo Li ◽  
Jian Shao ◽  
Jie Zhang ◽  
Yujin Liu ◽  
...  
Keyword(s):  
Cold Rolling ◽  
Rolling Mill ◽  
Shape Control ◽  
Rolling Force ◽  
Great Influence ◽  
Work Roll ◽  
Cold Rolling Mill ◽  
Finite Element Software ◽  
Bending Force ◽  
Roll Bending

In order to analyze the flatness control characteristics for a certain UCMW (Universal Crown Mill with Work roll shifting) cold rolling mill, combined with the actual parameters in the field, a static simulation model of the quarter roll systems of the UCMW cold rolling mill was established by the ANSYS finite element software. The bearing roll gaps under the factors of the unit width rolling force, the roll bending force and the roll shift were calculated, which reflects the shape control characteristics and has a great influence on the friction and lubrication characteristics between the roll gaps. Additionally, the shape control strategy of the process parameters in the field was put forward. The results show that, at first, the work roll shift is the most effective shape control means, while the current-used range of the intermediate roll shift cannot make full use of the roll end contour of the intermediate roll, so the intermediate roll negative shift should be considered for shape control. At second, the excessive rolling force goes against the shape control, so the rolling force of each stand should be reasonably distributed. Finally, the shape control ability of the bending force is relatively weak, so the range of the work roll bending force should be appropriately increased.

Sign in / Sign up

Export Citation Format

Share Document