Modeling and Optimization of Vertical Pulsating High Gradient Magnetic Separator for Iron ore Slime Processing Using Response Surface Methodology
International Journal of Mineral Processing and Extractive Metallurgy
Volume 1, Issue 5, November 2016, Pages: 56-63
Received: Oct. 6, 2016;
Accepted: Oct. 31, 2016;
Published: Dec. 12, 2016
Views 3253 Downloads 87
P. Sharath Kumar, Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India
B. P. Ravi, Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India
G. E. Sreedhar, Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India
P. C. Naganoor, Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India
Due to the increasing demand in the high grade ores for the metallurgical operations and the stringent environmental conditions on the mining activity it is essential utilize the waste tailing pond slimes, recovery of iron values form these tailing ponds not only enhance the life of the existingoperating mines also finds the route to achieve the sustainable process. The present study aims to recover iron values from waste tailing ponds of Donimali area of Karnataka using vertical pulsating high gradient magnetic separator, a three-level Box–Behnken factorial design combined with response surface methodology (RSM) for modelling and optimizing of process parameters of Vertical Pulsating High Gradient Magnetic Separator (VPHGMS), namely Magnetic Intensity, matrix Pulsation and revolution of the Ring (RPM) for the separation of Fe (Hematite) from a deslimed iron ore slimy sample was studied. Second-order response functions were utilized for the grade and recovery of the Fe in the concentrate fraction. With the advantage of the optimization function in the statistical software MINTAB 14, optimized levels of the process variables have been determined to achieve the maximum grade of 65.6%, and recovery was 80.64% with combined desirability of 0.8 of Fe in the concentrate fraction was predicted. The influence of the process variables of the VPHGMS on grade and recovery of the Iron bearing minerals in the Magnetic fraction was presented as 3D response surface graphs.
P. Sharath Kumar,
B. P. Ravi,
G. E. Sreedhar,
P. C. Naganoor,
Modeling and Optimization of Vertical Pulsating High Gradient Magnetic Separator for Iron ore Slime Processing Using Response Surface Methodology, International Journal of Mineral Processing and Extractive Metallurgy.
Vol. 1, No. 5,
2016, pp. 56-63.
N. Aslan, Y. Cebeci, Application of Box–Behnken design and response surface methodology for modeling of some Turkish coals, Fuel 86 (2007) 90–97.
N. Aslan, Modeling and optimization of multi gravity separator to produce celestite concentrate, Powder Technology 174 (2007) 127–133.
M. Kincl, S. Turk, F. Vrecer, Application of experimental design methodology in development and optimization of drug release method, International Journal of Pharmaceutics 291 (2005) 39–49.
Z. Xiao, A. Vien, Experimental designs for precise parameter estimation for nonlinear models, Minerals Engineering 17 (2004) 431–436.
N. Aslan, Application of response surface methodology and central composite rotatable design for modeling and optimization of a multi-gravity separator forchromite concentration, Powder Technology 185 (2008) 80–86.
S. Ozgen, A. Yidiz, A. Caliskan, E. Sabah, Modeling and optimization of hydrocyclone processing of low grade bentonites, Applied Clay Science 46 (3)(November 2009) 305–313.
G. E. P. Box, D. W. Benhken, Technometrics 2 (1960) 195.
C. D. Montgomery, Design and Analysis of Experiments, John Wiley and Sons, Pte.Ltd, Singapore, 2001.
S. L. C. Ferreira, W. N. L. Santos, C. M. Quintella, B. B. Neto, J. M. Boque-Sendra, Doehlert Matrix: a chemometric toll for analytical chemistry review, Talanta 63(2004) 1061–1067.
S. Souza Anderson, N. L. dos Santos Walter, L. C. Ferreira Sergio, Application of Box–Behnken design in the optimization of an on-line pre-concentration system using knotted reactor for cadmium determination by flame atomic absorptionspectrometry, SpectrochimicaActa Part B 609 (2005) 737–742.
D. L. Massart, B. G. M. Vandeginste, L. M. C. Buydens, S. D. Jong, P. J. Lewi, J. V. Smeyers, Handbook of Chemometrics and Qualimetrics, Part A, Elsevier, Amsterdam, 2003.
N. Kannan, A. Rajakumar, G. Rengasamy, Optimization of process parameters foradsorption of metal ions on straw carbon by using response surface methodology, Environment Technol 25 (2004) 513–522.
P. Rana, N. Mohan, C. Rajagopal, Electrochemical removal of chromium fromwastewater by using carbon aerogel electrodes, Water Resources 38 (2004) 2811–2820.
G. Annadurai, S. S. Sung, D. L. Lee, Optimisation of floc characteristics for treatment of highly turbid water, Separation Science Technology 39 (2004) 19–42.
Nilkuha C., The examination of some aspects of high tension separation of minerals, MEngSc Thesis, University of Melbourne (1959).
Hopstock D. M., An analysis of a rotating-drum-type electrostatic separator, PhD Thesis, University of Minnesota (1972).
Morrison R. D., Mathematical modelling of high tension roll separation, PhDThesis, University of Queensland (1977).
A. D. Dance, R. D. Morrison, Quantifying a black art: the electrostatic separation of mineral sands, Minerals Engineering 5 (7) (1992) 751–765.
Hearn, S. B and Dobbins, M. N. (2007). SLon magnetic separator: A new approach forrecovering and concentrating iron ore fines. Montreal Energy and Mines, April 29- May 2.
Angadi, S. I, Ho-SeokJeon, Mohanthy. S, Prakash. Sand Das, S. (2012). Analysis of Wet High-Intensity Magnetic Separation of Low-Grade Indian Iron Ore using Statistical Technique, Separation Science and Technology, volume 47:8, Pages 1129-1138.
Pradip “processing of alumina rich iron ore slimes” mineral processing and Engineering-2003. Pp-42.
The ASIA Miner report, 2010 and Longi Magnet Co. LTD, 2010.
The ASIA Miner report, 2010.