Study on Crack Forecast Model of Continuous Casting Slab

Author

Sun, Jie ; Wang, Junxia ; Liu, Zhengwei

Author_Institution

Sch. of Comput. & Autom. Control, Hebei Polytech. Univ., Tangshan

fYear

2009

fDate

1-2 Feb. 2009

Firstpage

410

Lastpage

413

Abstract

The detailed analysis of crack prediction in the continuous casting production at national and abroad has been presented. Based on clustering subtraction of ANFIS fuzzy adaptive network modeling and simulation, the simulation result prove that according to the signs, it can forecast cracks before it appear. Resolved the former equipments error crack examination detection problem, lowered the crack occurrence rate effectively, and increased the quantity of the continuous casting slab.

Keywords

casting; continuous production; crack detection; forecasting theory; fuzzy neural nets; generalisation (artificial intelligence); learning (artificial intelligence); pattern clustering; slabs; ANFIS fuzzy adaptive network modeling; clustering subtraction; continuous casting slab production; crack forecast model; fuzzy neural network; generalization ability; training sample; Carbon; Casting; Continuous production; Grain boundaries; Predictive models; Robotics and automation; Slabs; Steel; Surface cracks; Tensile stress; continuous casting; crack; fuzzy neural networks; subtractive clustering;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics in Control, Automation and Robotics, 2009. CAR '09. International Asia Conference on

Conference_Location

Bangkok

Print_ISBN

978-1-4244-3331-5

Type

conf

DOI

10.1109/CAR.2009.41

Filename

4777269