Title :
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
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 The outdated and the advanced mathematical models of coiling temperature are presented in the paper, and self-learning of online control strategy based on the advanced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;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156641
