Chatter model with structure-process-control coupled and stability analyses in the cold rolling system

2020 ◽  
Vol 140 ◽  
pp. 106692
Author(s):  
Zhi-Ying Gao ◽  
Yang Liu ◽  
Qing-Dong Zhang ◽  
Mao-Lin Liao ◽  
Bo Tian
1987 ◽  
Vol 20 (8) ◽  
pp. 289-294
Author(s):  
Wu Guo-Fa ◽  
Hsu Zhe ◽  
Zhuo Bing

2012 ◽  
Vol 572 ◽  
pp. 160-164
Author(s):  
Sheng Hui Jia ◽  
Lei Guo ◽  
Wei Xiang Wang

A unit of high-speed, large-scale, continuous, automated PCM, which is used for production process information management practice, is introduced in this paper. According to the practice of cold rolling equipment and "High-speed Management," advanced management methods and tools are embedded to process control, so as to achieve online control of "quality flow", real-time evaluation and improvement.


2016 ◽  
Vol 850 ◽  
pp. 494-501 ◽  
Author(s):  
Jin Shan Chen ◽  
Chang Sheng Li

Setup calculation function of the process control system for tandem cold rolling mills not only determinates the dimension accuracy of finished strip materials directly, but also affects the control of surface quality of strip materials. In the present work, an attempt was made to develop a new setup calculation method for tandem cold rolling mills to maximize the throughput and improve the surface quality of strips. Based on the application platform for level-2 process control system, the modular design method was adopted, and then the setup calculation function was developed. And four functional modules consisting of preset preparation module (PPM), basic setup calculation module (BSCM), dynamic setup calculation module (DSCM), and adaptive calculation module (ACM) were developed. The preset data from PPM were used in equipment of level-1 process control system, and the purposes of BSCM was to achieve high quality of products, reduce off thickness deviation and achieve stable rolling at maximum possible rolling speed for raising productivity. In order to minimize off error of preset and actual data, DSCM was provided. Thanks to the design of ACM, accuracy of mathematical model can be effectively improved on line. Ultimately, the precise model on setup calculation method for cold tandem rolling of strip steels was established, and then it was put into practical production. Statistics analysis showed that the measured data was in excellent agreement with the model, and exactly, the relative deviations on rolling force and delivery thickness of strips were less than 3.67% and 0.42%, respectively. The new setup calculation method has high precision and good generalization capability.


2013 ◽  
Vol 423-426 ◽  
pp. 775-779
Author(s):  
Jin Lan Bai ◽  
Xiang Li ◽  
Jun Sheng Wang

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.


2010 ◽  
Vol 148-149 ◽  
pp. 271-275
Author(s):  
Song Lei ◽  
Jun Sheng Wang

In this paper, Newton iterative calculation is adopted for the solution of non-line equation, which reverse calculation value of strip deformation resistance for process control of cold rolling as variable. The calculation speed, stability and accuracy of this algorithm are analyzed. The practical application verifies that Newton iterative calculation can meet the requirement of non-line calculation of process control of cold rolling.


Author(s):  
O.T. Woo ◽  
G.J.C. Carpenter

To study the influence of trace elements on the corrosion and hydrogen ingress in Zr-2.5 Nb pressure tube material, buttons of this alloy containing up to 0.83 at% Fe were made by arc-melting. The buttons were then annealed at 973 K for three days, furnace cooled, followed by ≈80% cold-rolling. The microstructure of cold-worked Zr-2.5 at% Nb-0.83 at% Fe (Fig. 1) contained both β-Zr and intermetallic precipitates in the α-Zr grains. The particles were 0.1 to 0.7 μm in size, with shapes ranging from spherical to ellipsoidal and often contained faults. β-Zr appeared either roughly spherical or as irregular elongated patches, often extending to several micrometres.The composition of the intermetallic particles seen in Fig. 1 was determined using Van Cappellen’s extrapolation technique for energy dispersive X-ray analysis of thin metal foils. The method was employed to avoid corrections for absorption and fluorescence via the Cliff-Lorimer equation: CA/CB = kAB · IA/IB, where CA and CB are the concentrations by weight of the elements A and B, and IA and IB are the X-ray intensities; kAB is a proportionality factor.


Sign in / Sign up

Export Citation Format

Share Document