Application of Self Organizing Maps to predict centerline segregation in steel slabs

Author

Díaz, Ana ; Sancho, Luis ; Díaz, Eugenia ; López, Antonio ; Sirgo, José A.

Author_Institution

Res., Dev. & Innovation, Arcelor Espana, Aviles

Volume

1

fYear

2006

fDate

8-12 Oct. 2006

Firstpage

511

Lastpage

515

Abstract

Segregation in steel cast products is an internal defect that can be very harmful when slabs are rolled in heavy plate mills. Several mathematical models of segregation have been developed in previous works; all of them develop some equations to modelize segregation behavior. In this work it is intended to develop a model based on neural networks obtaining a deeper knowledge on this phenomenon. The first trials have been done with a variable selection based on the experience and previous knowledge on segregation. Further studies include new variable selection and trials with other machine learning techniques such as genetic programming

Keywords

chemical engineering computing; learning (artificial intelligence); segregation; self-organising feature maps; slabs; steel manufacture; centerline segregation; heavy plate mills; machine learning techniques; neural networks; self organizing maps; steel cast products; steel slabs; Equations; Genetic programming; Input variables; Machine learning; Mathematical model; Milling machines; Neural networks; Self organizing feature maps; Slabs; Steel; SOM; centerline segregation; neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE

Conference_Location

Tampa, FL

ISSN

0197-2618

Print_ISBN

1-4244-0364-2

Electronic_ISBN

0197-2618

Type

conf

DOI

10.1109/IAS.2006.256567

Filename

4025252