Paper Title:
Intelligent Method in the End-Point Control of BOF
  Abstract

The design of BOF in Jiangyin Xingcheng Special Steel Co. Ltd is based on static and dynamic model. The BOF end-point carbon content and temperature are predicted by means of BP neural network. On basis of that, the consumption of material, output of static model, are regulated according to the prediction result. The shortcoming that the theory on static model is imperfect is overcome. The end-point hit rate is raised effectually in industrial practice.

  Info
Periodical
Edited by
Qi Luo
Pages
796-800
DOI
10.4028/www.scientific.net/AMM.20-23.796
Citation
K. X. Peng, J. Zhang, J. Dong, "Intelligent Method in the End-Point Control of BOF ", Applied Mechanics and Materials, Vols. 20-23, pp. 796-800, 2010
Online since
January 2010
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