ORAL

SESSION: IronTueAM-R10	5th Intl. Symp. on Advanced Sustainable Iron and Steel Making
Tue Oct, 24 2017	Room: Maria Mercedes & Maria Beatriz
Session Chairs: Jose Carlos D Abreu; Paulo Von Kruger; Session Monitor: TBA

12:30: [IronTueAM04]
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);
Paper Id: 53 [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.