Title :
Mechanical property control system for cold rolled steel sheet through locally weighted regression model
Author :
Shigemori, Hiroyasu
Author_Institution :
Steel Res. Lab., JFE Steel Corp., Fukuyama, Japan
Abstract :
A new control method is proposed for controlling mechanical property in cold-rolled steel sheet production process. The proposed method is based on a locally weighted regression model, which is a type of Just-In-Time models. The mechanical property control system using the proposed method was developed and has been applied to actual plants. The proposed method determines the optimal heat treatment temperature from the information of the pre-processes which has actual process data. Significant effects on reducing mechanical property deviations and model maintenance load have been achieved in commercial production. The developed system has made contributions to improving yield and production rate.
Keywords :
cold rolling; heat treatment; just-in-time; mechanical variables control; optimal control; regression analysis; sheet metal processing; steel; steel industry; temperature control; cold rolled steel sheet; cold-rolled steel sheet production process; commercial production; just-in-time model; locally weighted regression model; mechanical property control system; mechanical property deviation reduction; model maintenance load; optimal heat treatment temperature; preprocess information; production rate improvement; yield improvement; Data models; Databases; Manufacturing; Mathematical model; Mechanical factors; Predictive models; Steel; just-in-time modeling; locally weighted regression; mechanical Property Control; nonlinear model;
Conference_Titel :
Control Conference (ASCC), 2013 9th Asian
Conference_Location :
Istanbul
Print_ISBN :
978-1-4673-5767-8
DOI :
10.1109/ASCC.2013.6606043