Application of Data Mining in BOF Steelmaking Endpoint Control

Yan Hu; Zhong Zheng; Jian Yang

doi:10.4028/www.scientific.net/AMR.402.96

Paper Titles

Analysis of Factors Affecting Carbon Content Detection of Ferrochrome Alloy Using LIPS Method
p.74

Detection of Carbon in Ferroalloy Using Internal Standard Method Based on LIBS
p.78

Numerical Simulation of Flow-Induced Wall Shear Stress of a One Strand Tundish Design
p.85

Experimental Investigation of the Viscosities of High Titanium Containing Slags with Low Mass Ratio of CaO to SiO₂
p.90

Application of Data Mining in BOF Steelmaking Endpoint Control
p.96

Isothermal Experimental Study on the Effects of Converter Bath Shape on the Melt Mixing
p.100

Migration Principle of Chlorine in BF Production
p.107

Causes and Countermeasures of Cracking in Cogging Process of 40Cr Bloom
p.111

Application of Simulated Annealing Algorithm in Sintering Burdening Optimization
p.116

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 402Application of Data Mining in BOF Steelmaking...

Application of Data Mining in BOF Steelmaking Endpoint Control

Abstract:

In this work, data mining was applied into in BOF steelmaking endpoint control. Through the characteristic analysis of key factors, the data sheet to control end point was formed. Potential knowledge was explored from the data sheet using association rule mining algorithm, then expert rule are achieved automatically. The results show that through the combination of the effective expert rules and traditional BOF endpoint model, carbon content and temperature were predicted with high accuracy. Therefore it can be a new research method to improve BOF automation.