This study aimed to evaluate the chromite recovery from shaking table tailings of Forumad plant by a dry high-intensity magnetic separation. The average feed grade of chromium trioxide (Cr2O3) was 7.62% by XRF. Also, different mineral phases were determined by XRD, identifying the presence of Chrysotile, Augite, Albite, Chlorite and Chromite. Although the Forumad plant usually applies gravity methods utilizing the specific gravity difference between chromite and other gangue minerals, this study applied magnetic separation utilizing the paramagnetic nature of chromite crystals to recover chromite from tailings. 27 tests for 3 factors in 3 levels designed by the Taguchi method with design expert 12 software to determine the optimum conditions for the grade and recovery. Finally, the best condition was identified at 10,000 gauss (or 1 tesla) in the magnetic field intensity, 1 kg/min feeding rate, and 40 rpm drum rotating speed which produced a concentrate with 34.65% Cr2O3 and 59.42% recovery.
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[3]
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[4]
Alahgholi, S., Shirazy, A. and Shirazi, A. (2018) Geostatistical Studies and Anomalous Elements Detection, Bardaskan Area, Iran. Open Journal of Geology, 8, 697-710.
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[5]
Shirazi, A., et al. (2018) Geostatistics Studies and Geochemical Modeling Based on Core Data, Sheytoor Iron Deposit, Iran. Journal of Geological Resource and Engineering, 6, 124-133. https://doi.org/10.17265/2328-2193/2018.03.004
[6]
Shirazi, A., et al. (2018) Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran. International Journal of Science and Engineering Applications, 7, 39-44.
https://doi.org/10.7753/IJSEA0704.1001
[7]
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[8]
Shirazi, A. and Hezarkhani, A. (2018) Predicting Gold Grade in Tarq 1:100000 Geochemical Map Using the Behavior of Gold, Arsenic and Antimony by K-Means Method.
[9]
Shirazi, A., et al. (2018) Introducing a Software for Innovative Neuro-Fuzzy Clustering Method Named NFCMR. Global Journal of Computer Sciences: Theory and Research, 8, 62-69. https://doi.org/10.18844/gjcs.v8i2.3264
[10]
Shirazy, A., et al. (2019) Geochemical and Geostatistical Studies for Estimating Gold Grade in Tarq Prospect Area by K-Means Clustering Method. Open Journal of Geology, 9, 306-326. https://doi.org/10.4236/ojg.2019.96021
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https://doi.org/10.3390/min10100869
[12]
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https://doi.org/10.4236/ojg.2018.89049
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