Mathematical model and its self-learning algorithm for hot strip laminar cooling

Author

Wang, Haifang ; Wang, Yiqun

Author_Institution

Dept. of Mechatron., Hebei Normal Univ. Sci.&Technol., Qinhuangdao, China

fYear

2009

fDate

15-16 May 2009

Firstpage

375

Lastpage

378

Abstract

During the process of the strip cooling after finished rolling, the mathematical model of hot rolled strip coiling temperature is very important for obtaining satisfactory microstructure performance and mechanical property of the hot strip. The outdated and the advanced mathematical models of coiling temperature are presented in the paper, and self-learning of online control strategy based on the advanced mathematical model is analyzed. Finally, the measured data based on the advanced model is analyzed.

Keywords

hot rolling; learning (artificial intelligence); self-adjusting systems; strips; temperature control; advanced mathematical model; hot rolled strip coiling temperature; hot strip laminar cooling; online control; self-learning algorithm; strip cooling; Cooling; Finishing; Heat transfer; Mathematical model; Mechatronics; Milling machines; Strips; Temperature control; Temperature sensors; Water heating; coiling temperature; hot rolled; laminar cooling; mathematical model; self-learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-3817-4

Type

conf

DOI

10.1109/ICIMA.2009.5156641

Filename

5156641