Precise Rolling Force Calculation for the Tandem Cold Mill

2007 ◽  
Vol 561-565 ◽  
pp. 1883-1886
Author(s):  
Zhi Jie Jiao ◽  
Hao Zhang ◽  
Jing Wang ◽  
Chui Hong Liu ◽  
Xiang Hua Liu
Keyword(s):  
Rolling Force ◽  
Steel Grade ◽  
Rolling Speed ◽  
Force Model ◽  
Technical Parameter ◽  
Calculation Process ◽  
Tandem Cold Mill ◽  
Force Calculation ◽  
Online Process ◽  
Cold Mill

Rolling force is the most important technical parameter for the tandem cold mill. In this paper, the precise models and calculation process for the rolling force are introduced. The rolling force model is based on the Bland-Ford and Hill theory, and the roll flatten radius is calculated with the Hitchcok’s formula. The deformation resistance of the strip is calculated with the model, whose parameters are decided according to the steel grade. The friction coefficient model is built according to rolling speed and rolled length of the roll. The rolling force and the roll flatten radius are calculated with the iterative method. These models are used for online process control of one five-stand tandem cold mill. Comparing the calculation result and the actual data, the precision of the rolling force calculation is high.

Precise Rolling Force Calculation for the Tandem Cold Mill

2007 ◽  
pp. 1883-1886
Author(s):  
Zhi Jie Jiao ◽  
Hao Zhang ◽  
Jing Wang ◽  
Chui Hong Liu ◽  
Xiang Hua Liu
Keyword(s):  
Rolling Force ◽  
Tandem Cold Mill ◽  
Force Calculation ◽  
Cold Mill

Comprehensive Parameters Adaption of Rolling Force Model Based on Objective Function in Tandem Cold Mill

2014 ◽  
Vol 551 ◽  
pp. 296-301 ◽  
Author(s):  
He Nan Bu ◽  
Zhu Wen Yan ◽  
Cheng Ming Zhang ◽  
Dian Hua Zhang
Keyword(s):  
Friction Coefficient ◽  
Objective Function ◽  
Rolling Force ◽  
Forecast Accuracy ◽  
Optimal Solution ◽  
Adaptive Method ◽  
Force Model ◽  
Adaptive Process ◽  
Tandem Cold Mill ◽  
Cold Mill

In order to improve the setting accuracy of rolling force model, a comprehensive parameters adaptive objective function of rolling force was established. During the adaptive process, the adaptive coefficients of friction coefficient and deformation resistance were taken as the optimized parameters, and the Rosenbrock algorithm was used to search the optimal solution of the objective function. The proposed adaptive method has been applied successfully to a 1450mm 5-stand tandem cold mill. Application results show that the forecast accuracy of rolling force model has been improved significantly.

scholarly journals Nonlinear Receding Horizon Control of Thickness and Tension in a Tandem Cold Mill with a Variable Rolling Speed

2012 ◽  
Vol 52 (1) ◽  
pp. 87-95 ◽  
Author(s):  
Kohei Ozaki ◽  
Toshiyuki Ohtsuka ◽  
Kenji Fujimoto ◽  
Akira Kitamura ◽  
Makishi Nakayama
Keyword(s):  
Receding Horizon Control ◽  
Rolling Speed ◽  
Receding Horizon ◽  
Tandem Cold Mill ◽  
Nonlinear Receding Horizon Control ◽  
Cold Mill

Research on Finishing Rolling Force Model for Hot Rolling Wide and Heavy Stainless Steel Clad Sheets

2014 ◽  
Vol 488-489 ◽  
pp. 213-216 ◽  
Author(s):  
Jin He Rong ◽  
Xiao Hong ◽  
Geng Yong Xiang ◽  
Jiang Jin Shui
Keyword(s):  
Stainless Steel ◽  
Relative Error ◽  
Hot Rolling ◽  
Rolling Force ◽  
Rolling Stock ◽  
Force Model ◽  
Mechanical Coupling ◽  
Hot Rolled ◽  
Force Calculation ◽  
Unit Pressure

In order to effectively improve the calculation accuracy of finishing rolling force model for hot rolling wide and heavy stainless steel clad sheets, based on the E.Orowan unit pressure equilibrium differential equations and R.B.Sims unit pressure formulas, this paper divides hot-rolled composite deformation area into I, II two zones according to rolling stock jamming experiment, and then derives the finishing rolling force calculation formulas. Finally, by ANSYS/LS-DYNA thermal mechanical coupling simulation and experiment, the results show that compared with measured values, the relative error of simulated values is about 20%, the relative error of calculated values is less than 10%. Therefore, the rolling force model can accurately predict the size of rolling force and effectively improve the calculation accuracy of rolling force.

Rolling Force Calculation for Strip Cold Rolling Based on Influence Function Method

2014 ◽  
Vol 633-634 ◽  
pp. 791-794 ◽  
Author(s):  
Hai Zhou ◽  
Jin Lan Bai
Keyword(s):  
Cold Rolling ◽  
Influence Function ◽  
Function Method ◽  
Rolling Force ◽  
Force Model ◽  
Strip Rolling ◽  
Influence Function Method ◽  
Roll Flattening ◽  
Calculation Results ◽  
Force Calculation

The rolling force calculation procedure of strip cold rolling is developed based on influence function method, with consideration of the couple of roll flattening model and rolling force model. With the procedure total rolling force and the distribution of rolling force per width of each pass for HC mill are calculated using sampling data obtained from actual strip rolling. Comparing the calculation results with actual measured value, it is shown that the calculated total rolling forces are similar to actual data, and the distribution of rolling force per width is consistent with the actual status. It proved that the calculation method introduced in this paper is an effective method to calculate rolling force, and it can be used in the process control of strip cold rolling mill.

scholarly journals Nonlinear Receding Horizon Control of Thickness and Tension in a Tandem Cold Mill with a Variable Rolling Speed

2010 ◽  
Vol 96 (7) ◽  
pp. 459-467 ◽  
Author(s):  
Kohei Ozaki ◽  
Toshiyuki Ohtsuka ◽  
Kenji Fujimoto ◽  
Akira Kitamura ◽  
Makishi Nakayama
Keyword(s):  
Receding Horizon Control ◽  
Rolling Speed ◽  
Receding Horizon ◽  
Tandem Cold Mill ◽  
Nonlinear Receding Horizon Control ◽  
Cold Mill

Study of Rolling Force Calculation Models for Cold Rolling Process

2010 ◽  
Vol 154-155 ◽  
pp. 882-885
Author(s):  
Zhi Jie Jiao ◽  
Chun Yu He ◽  
Jian Ping Li ◽  
Xiang Hua Liu
Keyword(s):  
Friction Coefficient ◽  
Cold Rolling ◽  
Rolling Force ◽  
Rolling Process ◽  
Calculation Model ◽  
Deformation Resistance ◽  
Force Model ◽  
Practical Application ◽  
Hill Model ◽  
Force Calculation

For cold rolling process, the theoretical Bland-Ford-Hill model and Hitchcock model are used for the rolling force and roll flatten radius calculation. Friction coefficient and deformation resistance are calculated with empirical regression models. From rolling force model, the recalculation model for the friction coefficient and deformation resistance can be derived. After rolling, with actual measured data, friction coefficient and deformation resistance can be recalculated, and model parameter can be got by regression method. The practical application verifies that the accuracy of rolling force calculation model is good.

Load Distribution Optimization of Tandem Cold Mill Based on Quantum Chaos Multi-Objective Evolutionary Algorithm

2013 ◽  
Vol 774-776 ◽  
pp. 1208-1215
Author(s):  
Wan Lu Jiang ◽  
Sheng Zhang ◽  
Jin Na He
Keyword(s):  
Evolutionary Algorithm ◽  
Load Distribution ◽  
Quantum Chaos ◽  
Rolling Force ◽  
Minimum Energy ◽  
Optimization Method ◽  
Nsga Ii ◽  
Multi Objective ◽  
Tandem Cold Mill ◽  
Cold Mill

A novel quantum multi-objective evolutionary algorithm is proposed that combine the quantum computing with multi-objective evolutionary algorithm, and the quantum chromosomes is updated with the chaos in order to enhance the optimization capability of the quantum population. To verify the performance of the proposed algorithm, the functions ZDT1 and ZDT2 are optimized by the proposed algorithm and NSGA-II. The results show that the quantum chaos multi-objective evolutionary algorithm has the more powerful capability. The new proposed algorithm is applied to the load distribution optimization of tandem cold mill, and the two-objective function modal is built based on the minimum energy consumption and rolling force equilibrium. Optimizing the modal with the new algorithm, the empirical data and method of weighting, the result of quantum chaos multi-objective evolutionary algorithm is more reasonable. Therefore, the quantum chaos multi-objective evolutionary algorithm is a practicable intelligent optimization method for the load distribution optimization of tandem cold mill.

Research of Self-Learning of Plate Deformation Resistance Based on Genetic Algorithm

2010 ◽  
Vol 154-155 ◽  
pp. 260-264
Author(s):  
Chun Yu He ◽  
Zhi Jie Jiao ◽  
Di Wu
Keyword(s):  
Genetic Algorithm ◽  
Rolling Force ◽  
Deformation Resistance ◽  
Learning System ◽  
Model Parameters ◽  
Decision Variable ◽  
Force Model ◽  
Calculation Error ◽  
Force Calculation ◽  
Self Learning

The model parameters value of deformation resistance determines the prediction accuracy of rolling force model during the plate rolling. According to the influencing factors analysis of rolling force calculation error, the genetic algorithm was introduced into the self-learning method of deformation resistance, and searches the optimal value of deformation resistance on the basic of space exploration and optimization ability of genetic algorithm. The decision variable selection, the coding and decoding, the fitness evaluation and the terminal conditions process were implemented during development process of self-learning system. The results show that the optimization speed and accuracy can meet production requirement.

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