Fuel Ratio Optimization of Blast Furnace Based on Data Mining

Data Mining Using Unguided Symbolic Regression on a Blast Furnace Dataset

In this paper a data mining approach for variable selection and knowledge extraction from datasets is presented. The approach is based on unguided symbolic regression (every variable present in the dataset is treated as the target variable in multiple regression runs) and a novel variable relevance metric for genetic programming. The relevance of each input variable is calculated and a model ap...

Ann Based Prediction of Blast Furnace Parameters

Java-based Integrating Simulator for Blast Furnace

The method of integrating many partial simulators for a complicated system in the consideration of interaction is proposed. Java Native Interface is used to integrate the simulators programmed in different languages. Remote Method Invocation is used to integrate the simulators in different computer environment. By applying the method to the partial simulators on the blast furnace, java-based in...

Optimization of an Automatic Blast Furnace through Integrated Simulation Modeling

The objective of this study was to develop an integrated simulation model of an automatic blast furnace in a full-scale steelmaking factory. The integrated simulation model introduces a set of optimizing alternatives through sensitivity analysis. The simulation model is built by considering all major and detailed operations and interacting systems of the blast furnace workshop. The workshop is ...

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...