Kabushiki Kaisha Toshiba

Nippon Steel Corporation

Nippon Steel Sumitomo Metal Corporation

Yasushi Fukuoka

Toshio Takada

Masaaki Kurata

Kousuke Yoneta

Yuji Hirooka

Tsuyoshi Higo

Erina Ikeda

Kazutsugu Igarashi

Yosuke Mizoguchi

Electronic computer

Hard disk drive

Recording medium

The present invention provides a learning method of rolling load prediction which uses a prediction error of a rolling load at an actual pass of a stock in hot rolling to correct a predicted value of rolling load at a subsequent rolling pass. The method comprises changing a gain for multiplying with the prediction error of the rolling load at the actual pass in accordance with a thickness of the stock to thereby set the learning coefficient of the rolling load prediction and improve the precision of the prediction.

Learning method of rolling load prediction for hot rolling

Growing community of inventors

Tokyo, Japan

Yasushi Fukuoka