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Modeling and Optimization of Vertical Pulsating High Gradient Magnetic Separator for Iron ore Slime Processing Using Response Surface Methodology

Received: 6 October 2016     Accepted: 31 October 2016     Published: 12 December 2016
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Abstract

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.

Published in International Journal of Mineral Processing and Extractive Metallurgy (Volume 1, Issue 5)
DOI 10.11648/j.ijmpem.20160105.12
Page(s) 56-63
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Iron Ore, Slimes, VPHGMS, RSM, MINITAB

References
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[6] 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.
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[10] 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.
[11] 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.
[12] 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.
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[15] Nilkuha C., The examination of some aspects of high tension separation of minerals, MEngSc Thesis, University of Melbourne (1959).
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[19] 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.
[20] 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.
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  • APA Style

    P. Sharath Kumar, B. P. Ravi, G. E. Sreedhar, P. C. Naganoor. (2016). 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, 1(5), 56-63. https://doi.org/10.11648/j.ijmpem.20160105.12

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    ACS Style

    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. Int. J. Miner. Process. Extr. Metall. 2016, 1(5), 56-63. doi: 10.11648/j.ijmpem.20160105.12

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    AMA Style

    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. Int J Miner Process Extr Metall. 2016;1(5):56-63. doi: 10.11648/j.ijmpem.20160105.12

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  • @article{10.11648/j.ijmpem.20160105.12,
      author = {P. Sharath Kumar and B. P. Ravi and G. E. Sreedhar and P. C. Naganoor},
      title = {Modeling and Optimization of Vertical Pulsating High Gradient Magnetic Separator for Iron ore Slime Processing Using Response Surface Methodology},
      journal = {International Journal of Mineral Processing and Extractive Metallurgy},
      volume = {1},
      number = {5},
      pages = {56-63},
      doi = {10.11648/j.ijmpem.20160105.12},
      url = {https://doi.org/10.11648/j.ijmpem.20160105.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmpem.20160105.12},
      abstract = {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.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Modeling and Optimization of Vertical Pulsating High Gradient Magnetic Separator for Iron ore Slime Processing Using Response Surface Methodology
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    AU  - B. P. Ravi
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    JF  - International Journal of Mineral Processing and Extractive Metallurgy
    JO  - International Journal of Mineral Processing and Extractive Metallurgy
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    PB  - Science Publishing Group
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    AB  - 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.
    VL  - 1
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Author Information
  • Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India

  • Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India

  • Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India

  • Department of Mineral Processing, VSKUB PG Centre, Nandihalli, Sandur, India

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