Fuzzy Control of Micum Strength for Iron Ore Sinter

• Barea Rafael

  Centro Nacional de Investigaciones Metalúrgicas (CENIM)

• Mochón Javier

  Centro Nacional de Investigaciones Metalúrgicas (CENIM)

• Cores Alesandro

  Centro Nacional de Investigaciones Metalúrgicas (CENIM)

• Martín D. Ramon

  Centro Nacional de Investigaciones Metalúrgicas (CENIM)

Abstract

The proper performance of sinter plants is vital for efficient and uniformly blast furnace operations. For smooth sinter plants operation, changes to the operating conditions should be few and precise. This paper explains advisory platforms that supply control strategies and sinter quality estimations to the plant operators, developing mathematical model, which are able to advise them about the necessary decisions to improve sinter quality. These models, based on Fuzzy Logic sets, have been developed to supply control strategies and sinter quality estimations to the plant operators at a Spanish factory.

Journal

• ISIJ International

  ISIJ International 46 (5), 687-693, 2006

  The Iron and Steel Institute of Japan

Keywords

• ironmaking
• agglomeration
• MICUM index
• sinter quality
• fuzzy Logic
• neural networks

Details

• CRID: 1390001206489392512
• NII Article ID: 10018046554
• NII Book ID: AA10680712
• DOI: 10.2355/isijinternational.46.687
• ISSN: 13475460
• ISSN: 09151559
• Web Site: http://www.jstage.jst.go.jp/article/isijinternational/46/5/46_5_687/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed