Study of Iron Ore Mixtures Behavior in the Grinding Pelletizing Process

被引:11
作者
Casagrande, C. [1 ]
Alvarenga, T. [1 ]
Pessanha, S. [1 ]
机构
[1] Vale SA, Dev & Proc Engn, Pelletizing Dept, Ave Dante Michellini 5500, Vitoria, Brazil
来源
MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW | 2017年 / 38卷 / 01期
关键词
Pelletizing; grinding; grindability index; iron ore; PARTICLE-SIZE; SOFT-SENSOR;
D O I
10.1080/08827508.2016.1244058
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
The main unit operations of pelletizing process are grinding, filtering, pressing, pelletizing, and firing. Grinding, the first operation in the process, is a crucial step for the subsequent operations. Three iron ore mixtures with different grindability index (low, medium, and high) were used in order to verify the influence in the operational parameters such as production rate, discharge density, and pump pressure. Through Design of Experiments (DOE), nine experiments over each iron ore mixture were done, varying the minimum and maximum grinding operational parameters. Independent variables (responses) were the specific surface area or Blaine index (BI) and the particle size (PS), which were measured by the automatic PS analyzer system (PSI). The main objectives of this study are to know the behavior of iron ore mixtures with different grindability indexes in the industrial plant and develop a regression model that can be used for real-time measurement of PS and BI for different grindability indexes in the industrial operations. The results showed satisfactory correlations between the factors and responses.
引用
收藏
页码:30 / 35
页数:6
相关论文
共 16 条
[1]   An improved estimation of size distribution from particle profile measurements [J].
Al-Thyabat, S. ;
Miles, N. J. .
POWDER TECHNOLOGY, 2006, 166 (03) :152-160
[2]   Particle size distribution soft-sensor for a grinding circuit [J].
Casali, A ;
Gonzalez, G ;
Torres, F ;
Vallebuona, G ;
Castelli, L ;
Gimenez, P .
POWDER TECHNOLOGY, 1998, 99 (01) :15-21
[3]  
Costa G. M., 2009, MINER ENG, V22, P1245
[4]   Effect of the Morphological Types in Grinding of Iron-Ore Products [J].
Graca, L. M. ;
Lagoeiro, L. E. ;
Lima, R. M. F. ;
Barbosa, P. F. ;
Machado, M. M. .
MINERAL PROCESSING AND EXTRACTIVE METALLURGY REVIEW, 2015, 36 (05) :324-331
[5]   A new fractal modification of ultrasonic attenuation model for measuring particle size in mineral slurries [J].
He, Gui-chun ;
Mao, Yi-ping ;
Ni, Wen .
INTERNATIONAL JOURNAL OF MINERAL PROCESSING, 2007, 82 (03) :119-125
[6]  
Johnson R., 2007, The influence of early-life events on human capital, health status, and labor market outcomes over the life course, P1
[7]  
Kawatra S., 1982, SME AIME ANN M DALL
[8]   A neural network-based soft sensor for particle size distribution using image analysis [J].
Ko, Young-Don ;
Shang, Helen .
POWDER TECHNOLOGY, 2011, 212 (02) :359-366
[9]   Time delay neural network modeling for particle size in SAG mills [J].
Ko, Young-Don ;
Shang, Helen .
POWDER TECHNOLOGY, 2011, 205 (1-3) :250-262
[10]  
LEVIN J, 1989, J S AFR I MIN METALL, V89, P13