Dynamic Rolling Force Prediction of Reversible Cold Rolling Mill Based on BP Neural Network with Improved PSO

2018 ◽  
Author(s):  
Gang Zheng ◽  
Lin-Heng Ge ◽  
Ya-Qian Shi ◽  
Yu Li ◽  
Zhe Yang
Keyword(s):  
Neural Network ◽  
Cold Rolling ◽  
Bp Neural Network ◽  
Rolling Mill ◽  
Rolling Force ◽  
Cold Rolling Mill ◽  
Force Prediction ◽  
Improved Pso

Rolling Force Prediction System of Cold Rolling Process Based on BP Neural Network

2013 ◽  
Vol 690-693 ◽  
pp. 2361-2365 ◽  
Author(s):  
Wei Teng ◽  
Guang Ming Wang
Keyword(s):  
Neural Network ◽  
Cold Rolling ◽  
Bp Neural Network ◽  
Rolling Force ◽  
Rolling Process ◽  
Prediction System ◽  
Force Prediction ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Generic Process

This paper took the example of rolling force prediction in the cold rolling process to describe the establishment and application of BP neural network prediction system. This system is a prediction model for generic process. Users can select different parameters to train the network structure according to their needs, and can calculate relative rolling force parameters based on the known structure. This system can provide very valuable process information for workers and researchers .

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.

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.

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