Prediction of Coiling Temperature of Hot Rolled Strip Based on BP Neural Network

Abstract:

Coiling temperature of hot rolled strip is one of the important parameters which affect performances of hot rolled strip. The control of coiling temperature is highly nonlinear and time-varying. Based on the laminar cooling control system of a hot rolling plant, a coiling temperature prediction model based on BP neural network was established. Many factors which affect coiling temperature control were taken into account, and the BP neural network was trained by actual production data. The simulation was carried out, which indicates that coiling temperature can be predicted precisely, and the BP neural network model has the prospect of online application.

• Periodical: Applied Mechanics and Materials (Volumes 633-634)
• Pages: 679-683
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.633-634.679
• Online since: September 2014
• Authors: En Yang Liu*, Wen Peng, Ning Cao, Si Rong Yu, Jun Xu, Liang Gui Peng, Dian Hua Zhang
• Keywords: BP Neural Network (BPNN), Coiling Temperature, Hot-Rolled Strip, Laminar Cooling, Mathematical Models

References

[1] Dianhua Zhang, Wenhong Liu, Xianghua Liu, et al. Iron and Steel, Vol. 39(2004), p.43. (In Chinese).

[2] Lawrence WJ, MacAlister A F, Reeve P J. Ironmaking and Steelmaking, Vol. 23(1996), p.74.

[3] Henrich L, Holz R, Kneppe G. Ironmaking and Steelmaking, Vol. 23(1996), p.79.

[4] Zheng Cai, Guodong Wang, Xianghua Liu, et al. Journal of Iron and Steel Research, Vol. 10(1998), p.57. (In Chinese).

[5] Enyang Liu, Dianhua Zhang, Jie Sun, et al. Journal of Iron and Steel Research, International, Vol. 19(2012), p.39.

[6] Xiaoan Li, Xiaohui Zhang, in: Neural Network and Neural Computer Introduction, edited by Northwestern Polytechnical University Press, Xi'an (1994). (In Chinese).