Flatness On-Line Preset Technology for Cold Rolling Mill

Dong Cheng Wang; Hong Min Liu

doi:10.4028/www.scientific.net/AMR.572.120

Paper Titles

Research of the Strategy on the Flatness and Gauge Control Based on Coiling Variable Tension Control Process
p.98

The Research on the Coupling Relation between Flatness and Edge Drop for Tandem Cold Rolling Mill
p.104

Research on the Edge Drop Control Strategy in Cold Tandem Rolling Mill
p.110

Active Disturbance Rejection Control for Hydraulic Position Control System of High-Quality Cold Rolling Mill
p.114

Flatness On-Line Preset Technology for Cold Rolling Mill
p.120

Research of the Roll Systems Flexural Coupling-Dynamic Modeling
p.125

Study and Application of SSC Model on Hot Rolling Wide Strip Mill
p.131

Study on Predictive Model of Plate Camber
p.137

Design and Applications on Automatic Gauge Control and Automatic Tension Control for Continuous Tandem Cold Mill
p.143

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 572Flatness On-Line Preset Technology for Cold...

Flatness On-Line Preset Technology for Cold Rolling Mill

Abstract:

Generally, optimization algorithm is adopted by flatness preset theory model to get optimal preset parameters, and the optimization process needs to frequently call flatness prediction model which combines strip plastic deformation model with rolls elastic deformation model through iterative method. The calculation time of iterative course is long, and optimization algorithm will multiply the calculation time, so it is difficult to apply the flatness preset theory model on line. To solving the problem, a step-by-step method is put forward by this paper, which separates strip plastic deformation model from rolls elastic deformation model reasonably, and the calculation speed and stability are improved significantly. At the same time, a direct method to solve strips object gauge transverse distribution and a fast influence function method are deduced to reduce the calculation time of basic models. The research result is tested by a 1420 mm reversible CVC-high mill, and its precision, speed and stability meet the requirement of online preset, which shows well promotion value.

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Periodical:

Advanced Materials Research (Volume 572)

Pages:

120-124

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.572.120

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Online since:

October 2012

Authors:

Dong Cheng Wang, Hong Min Liu

Keywords:

Flatness Preset, Optimization Algorithm, Rolls Elastic Deformation, Step-by-Step Method, Strip Plastic Deformation

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References

[1] Y. K. Sun: Model and Control of Hot Tandem Mill (Metallurgical industry Publications, China 2007).

Google Scholar

[2] X.K. Ding: Rolling Process Automation (Metallurgical industry Publications, China 2005).

Google Scholar

[3] J. Liu: Mater. Production Line of the Cold Rolling Mill Automation Technology (Metallurgical industry Publications, China 2006).

Google Scholar

[4] L.J. Xv: Flatness Control in Cold Strip Rolling and Mill Type Selection (Metallurgical industry Publications, China 2007).

Google Scholar

[5] H. M Liu: Three-Dimensional Rolling Theory and Its Application (Science Publications, China 2006).

Google Scholar

[6] H. M Liu, K.R. Ding and X. D. Li: Chinese journal of mechanical engineering, Vol. 44 (2008) No. 8, p.137.

Google Scholar

[7] D.C. Wang and H. M Liu: Journal of Iron and Steel Research, International, Vol. 19 (2012) No. 2, p.22.

Google Scholar

[8] D.C. Wang: Research on Theory Models of Online Shape Pre-Set Control for Strip Tandem Mill (Ph.D., Yanshan University, China 2009), p.32.

Google Scholar