Advertisement

Metallurgist

, Volume 50, Issue 1–2, pp 49–53 | Cite as

Automatic system for predicting the viscoplastic region in a blast furnace

  • I. P. Fedorov
  • L. D. Nikitin
  • S. F. Bugaev
Article
  • 20 Downloads

Abstract

A mathematical model to describe the region of the blast furnace in which the charge materials are in the viscoplastic state (VPR) has been constructed for a blast furnace at the West Siberian Metallurgical Combine. The furnace has a standard bell-and-hopper charging apparatus and movable top slabs. The results of studies that were conducted led to the development of an automated system to monitor the VPR in blast furnaces. The system allows furnace operators to form the required VPR profile in accordance with current objectives. It also allows them to make real-time determinations of the reasons for changes in the gas flow inside the furnace, that flow being affected mainly by the internal profile of the furnace and the location of the VPR. Ultimately, use of the system allows the operators to promptly take action to keep the charge distribution and gas flow optimum.

Keywords

Furnace Mathematical Model Blast Furnace Charge Distribution Automate System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    I. P. Fedorov and L. D. Nikitin, “Predicting the location of the viscoplastic region in a blast furnace,” Chern. Metall: Byull NTI, No. 7, 21–24 (2004).Google Scholar
  2. 2.
    B. I. Kitaev, Yu. G. Yaroshenko, E. L. Sukhanov, et al., Heat Engineering in Blast-Furnace Smelting [in Russian], Metallurgiya, Moscow (1978).Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  • I. P. Fedorov
    • 1
  • L. D. Nikitin
    • 1
  • S. F. Bugaev
    • 1
  1. 1.West Siberian Metallurgical Combine OAORussia

Personalised recommendations