Prediction of the cohesive zone in a blast furnace by integrating CFD and SVM modelling

ABSTRACT

High efficiency and clean emission operation of a blast furnace are mainly determined by its operating stability, which is closely related to the position of the cohesive zone (CZ) in the blast furnace. In order to monitor the CZ position in real time, a prediction model of the CZ was proposed by combining an off-line computational fluid dynamics (CFD) calculation and support vector machine (SVM) modelling. An axisymmetric two-dimensional steady-state CFD model was established to simulate the fluid flow, heat and mass transfer in the blast furnace shaft. The sample dataset of the CZ information was established based on the CFD off-line calculation, and the prediction of the CZ position was realized by SVM modelling. The results show that the established model can predict the CZ position in real time with high accuracy, providing effective guidance to the blast furnace operation and control.

KEYWORDS:

• Blast furnace
• cohesive zone
• computational fluid dynamics
• numerical simulation
• support vector machine
• prediction
• charging pattern
• burden descending velocity

Acknowledgements

This work was supported by the National Natural Science Foundation of China under Grant of 61573383. Special thanks to the Graduate Research Innovation Project of Central South University 2018zzts493 for supporting this research.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 61573383].