Paper Title:
Automatic Fuzzy Based System for Carbon Estimation in a Basic Oxygen Furnace
  Abstract

Molten metal carbon is an important parameter to be controlled during the BOF operation. In this paper, a fuzzy logic system for carbon sensing in a basic oxygen furnace (BOF) is presented. This objective system is identified from input-output data of the system by applying the subtractive clustering algorithm. The input data presents the optical radiations emitted from the BOF mouth and the output presents the carbon content of the molten metal contained in BOF in order to provide an efficient decision support application. The variables employed to develop the fuzzy logic system are obtained through an optical sensor located adjacent a full scale BOF at Nanjing steels’. Preliminary results are really encouraging.

  Info
Periodical
Edited by
Ran Chen
Pages
3976-3980
DOI
10.4028/www.scientific.net/AMM.44-47.3976
Citation
M. Zhang, Y. R. Chen, L. F. Xu, Y. Q. Wang, "Automatic Fuzzy Based System for Carbon Estimation in a Basic Oxygen Furnace", Applied Mechanics and Materials, Vols. 44-47, pp. 3976-3980, 2011
Online since
December 2010
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