DocumentCode
3138260
Title
Study of mould breakout prediction technique in continuous casting production
Author
Li, Wentao ; Li, Yang ; Zhang, Yuan
Author_Institution
Sch. of Inf. Eng., IMUST, Baotou, China
Volume
7
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
2966
Lastpage
2970
Abstract
This paper introduced a kind of mould breakout prediction method in steel continuous casting production, which is based on mould friction, thermocouple temperature and process parameters. At first authors analyzed characteristics of existing breakout prediction systems, influence factors on breakout, and feasibility that mould friction is used to estimate breakout; and then investigated mould friction online application method; after comparing the temperature characteristics of thermocouple laid in the mould walls at normal and abnormal conditions, founded the horizontal group-thermocouples judge model; finally, established BP neural network and dynamic fuzzy neural network by MATLAB which combined with horizontal group-thermocouples judge model to confirm the breakout phenomenon. [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Keywords
backpropagation; casting; friction; fuzzy neural nets; moulding; production engineering computing; quality control; sheet metal processing; steel; BP neural network; FeCJkJk; breakout estimation; continuous casting production; dynamic fuzzy neural network; mould breakout prediction technique; mould friction; sheet; steel; thermocouple temperature; Artificial neural networks; Casting; Friction; Slabs; Temperature measurement; Temperature sensors; breakout prediction; continuous casting; friction; mould; neural network;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6495-1
Type
conf
DOI
10.1109/BMEI.2010.5639335
Filename
5639335
Link To Document