COOLING TEMPERATURE CONTROL FOR STEEL PLATES THROUGH LOCALLY WEIGHTED REGRESSION MODEL

1 SHIGEMORI Hiroyasu
Institution:
1 JFE Steel Corporation, Steel Research Laboratory, Fukuyama, Japan, h-shigemori@jfe-steel.co.jp
Conference:
24th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, June 3rd - 5th 2015
Proceedings:
Proceedings 24th International Conference on Metallurgy and Materials
Pages:
1727-1732
ISBN:
978-80-87294-58-1
ISSN:
2694-9296
Published:
12th January 2015
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
160 views / 37 downloads
Abstract

A new control method is proposed for controlling cooling temperature in steel plate production process. The proposed method is based on a locally weighted regression model, which is a type of Just-In-Time models. The cooling temperature control system using the proposed method was developed and has been applied to actual plants. The proposed method determines the optimal manufacturing condition from the information of the pre-processes which has actual process data. Significant effects on reducing cooling temperature deviations and model maintenance load have been achieved in commercial production. The developed system has made contributions to improving yield and production rate.

Keywords: just-in-time modeling, data based modeling, nonlinear model, optimum control, quality improvement

© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Scroll to Top