Optimization Of Rougher Wet High Intensity Magnetic Separator To Recover Ilmenite From Placer Heavy Minerals

International Mineral Processing Congress
T. Laxmi
Organization:
International Mineral Processing Congress
Pages:
12
File Size:
470 KB
Publication Date:
Sep 1, 2012

Abstract

This paper details the optimization of rougher Wet High Intensity Magnetic Separator (WHIMS) using response surface methodology. The optimization is in parametric form and takes account of the major operating variables in WHIMS operation such as current in ampere and grid gap, in inch. The objective is to recover ilmenite mineral from red sediment deposits of Srikakulam, India by optimizing the rougher WHIMS. We predict mineral recoveries as a function of current and grid gap. Combination of these predictions with assay data provides predictions of mineral grades and recoveries. The optimized response was validated against data derived from laboratory-scale rougher WHIMS test work, comprising (i) mineral grade, (ii) mineral recovery, and (iii) separation efficiency of the process. We observed close match between the experimental and the predicted data over most of the operational range. This paper describes how the optimization was carried out using the response surface methodology along with MATLAB. The response surface was used to closely investigate the separation of ilmenite mineral by varying ampere and grid gap. The results show that under optimum conditions, such as 3.5 amp current (0.53 Tesla) and 2 inch grid gap, the mineral grade could reach, as high as 87.9% in the concentrate with 74.3 % recovery and 74.4% yield. Keywords: red sediment, wet high intensity magnetic separator, optimization, ilmenite, placer heavy minerals
Citation

APA: T. Laxmi  (2012)  Optimization Of Rougher Wet High Intensity Magnetic Separator To Recover Ilmenite From Placer Heavy Minerals

MLA: T. Laxmi Optimization Of Rougher Wet High Intensity Magnetic Separator To Recover Ilmenite From Placer Heavy Minerals. International Mineral Processing Congress, 2012.

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