Wiener Model Identification of Blast Furnace Ironmaking Process

Neural Modeling as a Tool to Support Blast Furnace Ironmaking

This paper describes the development of a hybrid model based on artificial neural network and its industrial application to the ironmaking at Companhia Siderúrgica Nacional (CSN -Volta Redonda/Brazil). The Iron Blast Furnace is highly complex process subject to oscillations in raw material characteristics. A precise model is essential to adjust © 2002 charging and blow conditions to match produ...

Multivariate process monitoring of an experimental blast furnace

Process monitoring by use of multivariate projection methods has received increasing attention as it can reduce the monitoring problem for richly instrumented industrial processes with many correlated variables. This article discusses the monitoring and control of a continuously operating experimental blast furnace (EBF). A case study outlines the need for monitoring and control of the EBF and ...

Development of Blast Furnace Burden Distribution Process Modeling and Control

1) School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083 China. 2) Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education), University of Science and Technology Beijing, Beijing, 100083 China. 3) Department of Electrical & Computer Engineering, Missouri University of Science and Technology, Rolla, MO, 65409-00...

Ground Granulated Blast Furnace Slag

1. Ground Granulated Blast Furnace Slag Ground Granulated Blast Furnace Slag (GGBFS) is a by product of the steel industry. Blast furnace slag is defined as “the non-metallic product consisting essentially of calcium silicates and other bases that is developed in a molten condition simultaneously with iron in a blast furnace.” [1] In the production of iron, blast furnaces are loaded with iron o...

Ann Based Prediction of Blast Furnace Parameters