The Optimization of Roll Force Model in Hot Strip Mill

Geng Sheng Ma; Fang Chen Yin; Zhu Wen Yan; He Nan Bu; Wen Peng; Dian Hua Zhang

doi:10.4028/www.scientific.net/AMR.926-930.3705

Paper Titles

Research on the Path Optimization of Satellite Formation Reconfiguration Based on Gauss Pseudospectral Method
p.3688

Saliency Detection through Nonlinear Metric Fusion
p.3692

Study on the Stability of Virtual Network Mapping Algorithm Based on the Improved Genetic Algorithm
p.3696

The Improvement of the Three Dimensional Douglas-Peucker Algorithm
p.3701

The Optimization of Roll Force Model in Hot Strip Mill
p.3705

The Research of the Digital Image-Processing of Colorful Painting
p.3709

Two Conclusions of Points Produced by Incremental Sub-Gradient Method for the Non-Differentiable Optimal Problem in Hilbert Space
p.3713

Value Reduction Algorithm Based on Attribute Union
p.3718

Study on the Integrated Method of SEM and DEMATEL
p.3722

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 926-930The Optimization of Roll Force Model in Hot Strip...

The Optimization of Roll Force Model in Hot Strip Mill

Abstract:

The accuracy of roll force model and the rationality of roll fore adaptive model play a key role in obtaining the thickness of strip with high precision. The roll force model has been established. It includes the elastic flattened roller model and deformation resistance model considering the chemical composition of strip. A deformation resistance-based fitting curve is proposed in rolling force adaption, it can be inherited to any other thick range class. Application results show that the rolling force model and its adaptation are with high prediction accuracy and it has improved the strip thickness accuracy.

You might also be interested in these eBooks

Progress in Applied Sciences, Engineering and Technology

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

3705-3708

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.926-930.3705

Citation:

Cite this paper

Online since:

May 2014

Authors:

Geng Sheng Ma*, Fang Chen Yin, Zhu Wen Yan, He Nan Bu, Wen Peng, Dian Hua Zhang

Keywords:

Adaption, Hot Strip Mill, Roll Force Model

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] JOHN G. LENARD: Primer on flat rolling. Elsevier Science, 2007, P1.

Google Scholar

[2] Zai-qin CHANG: Analyzation of the impact of strip head thickness precision. Science & Technology of Baotou Steel Corporation. , 2005, 31(1): P11-14. (In Chinese).

Google Scholar

[3] Yi-kang SUN: Hot Strip Rolling Model and Control. Beijing: Metallurgical Industry Press, 2002. (In Chinese).

Google Scholar

[4] Lei XU, Qingliang ZENG, Xianlei HU: Application OF Plate Rolling Force Self-learning model. Journal of Iron and Steel Research, 2009, 21(12): 17-19, 42. (In Chinese).

Google Scholar

[5] Fuwen ZHU, Xianlei HU, Zhong ZHAO: High-precision rolling force short-term self-learning for plate production. Journal of Northeastern University(Natural Science), 2008, 29(7): 980-983. (In Chinese).

Google Scholar

[6] Wen-zhong LIU, Zhi-min LV: Study of Rolling Force Model on Hot Strip Mill. IRON & STEEL. 2002, 37(5): 34-37. (In Chinese).

Google Scholar