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 :
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