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| Control Technique for Surface Roughness of Strip in Cold Tandem Rolling |
| BAI Zhenhua1,WANG Junfei2 |
| 1. Mechanical College of Yanshan University, Qinhuangdao 066004, Heibei, China; 2. Cold Rolling Department of Baosteel, Shanghai 201900, China |
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Abstract Taking 2030 fivestand cold tandem mills at Baosteel as the object and through field experiment and theoretical research, a set of prediction models and the control scheme for surface roughness of cold rolled strip were put forward based on the analysis of the main factors of surface roughness. By use of such control technique, the hit rate of surface roughness has reached over 80%.
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Received: 01 January 1900
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| [1] |
LIU Jie. Artificial intelligence drives changes in metallurgical industry[J]. Iron and Steel, 2020, 55(6): 1-7. |
| [2] |
JI Xiu-mei1,2,WANG Long1,GAO Ke-wei2,LIU Jie1. Application of ELM to predict plate rolling force[J]. JOURNAL OF IRON AND STEEL RESEARCH , 2020, 32(5): 393-399. |
| [3] |
WU Sheng-li, QUE Zhi-gang, AI Xian-bin. Research process on regulating reaction behaviors of calcium-containing compounds for reducing NOx emission in sintering process[J]. Iron and Steel, 2020, 55(3): 1-8. |
| [4] |
CHEN Deng-fu, XU Pei, LONG Mu-jun, DUAN Hua-mei, YANG Jie, WU Shi-xin. Development and investigation of advanced process model for secondary cooling in continuous casting of molten steel[J]. Iron and Steel, 2020, 55(3): 40-49. |
| [5] |
. [J]. , 2020, 45(3): 0-0. |
| [6] |
Zhan-Guang Han. Study on Surface Temperature Control for Billet Direct-Rolling[J]. , 2020, 45(2): 0-0. |
|
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2006, Vol. 41 
