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VERSION:2.0
METHOD:PUBLISH
BEGIN:VEVENT
ORGANIZER;CN=ESTAD 2023:mailto:info@metec-estad.com
LOCATION:Room 19b
SUMMARY:AI guidance model for controlling the width deviation of ferritic stainless steel slabs 
DESCRIPTION:Reducing the slab width widening around the 400 series stainless steel is very necessary to improve the yield rate by reducing the amount of slab edge in the hot rolled coil. The amount of slab edge is multiple linear defects that occur within 20mm of both edges of the coil due to the widening of the slab narrow side during rough rolling of hot-rolling. In this study, a factory applied on-line model for the development of an artificial intelligence (AI)-based slab width prediction model is proposed. The proposed model collects operation data in units of 1 second during continuous casting and includes everything from the data preprocessing process to the learning and evaluation of the artificial intelligence model. A multilayer perceptron (MLP) model was used. The most important thing in the data pre-processing process is to align the working data by the position of the width of the slab. The developed width control model shows more than 95% of slab width prediction accuracy for both the learning data and the evaluation data. It is expected that the research model proposed in this study can be applied to the development of various predictive models with time series characteristics. 

CLASS:PUBLIC
DTSTART:20230614T094000
DTEND:20230614T100000
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