2017-Sustainable Industrial Processing Summit
SIPS 2017 Volume 9. Iron and Steel, Metals and Alloys

Editors:Kongoli F, Conejo A, Gomez-Marroquin MC
Publisher:Flogen Star OUTREACH
Publication Year:2017
Pages:242 pages
ISBN:978-1-987820-77-5
ISSN:2291-1227 (Metals and Materials Processing in a Clean Environment Series)
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    Prediction of Strength and Productivity of Sinter by using the Various Physicochemical Properties of Iron Ores

    Young-Cheol Yang1;
    1POSCO, Pohang-si, Korea (Republic of [South] Korea);
    Type of Paper: Regular
    Id Paper: 53
    Topic: 2

    Abstract:

    Raw materials of iron ore sinter are made up of a mixture of various iron ore brands. And, depending on the type of blend condition of iron ores, the qualities of sinter and operation result will vary. Therefore, every time we evaluate new iron ore or set up a suitable blend condition, a complex and difficult sintering simulation (pot test) should have been performed repeatedly for each case. To solve these difficulties, a quality prediction model of iron ore sinter is needed, using various properties of ores. The characteristics of iron ores were extensively analyzed in terms of chemistry, mineralogy, physical properties, reactivity, granulation properties and sintering performances. A database of these characteristics of iron ore brands was built up. Models to predict the strength, yield and productivity of sinter were developed based on the database and their applicability was checked through pot tests. The correlation coefficients between prediction models(SSI, Sinter Strength Index and SPI, Sinter Productivity Index) and sintering indices(TI, Tumbler Index and Productivity) from pot tests indicated 0.79 and 0.76, respectively. As a result, the models could be applied to the blending design of sinter mix according to the plant operation conditions reflecting physicochemical properties of iron ore brands.

    Keywords:

    Iron; Melting; Metallurgy; Modeling; Properties;

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    Cite this article as:

    Yang Y. (2017). Prediction of Strength and Productivity of Sinter by using the Various Physicochemical Properties of Iron Ores. In Kongoli F, Conejo A, Gomez-Marroquin MC (Eds.), Sustainable Industrial Processing Summit SIPS 2017 Volume 9. Iron and Steel, Metals and Alloys (pp. 166-177). Montreal, Canada: FLOGEN Star Outreach