Modelling and process optimization of phosphate flocculate flotation from collophanite using the response surface methodology, Z. Hua, X. Tong, D. Feng, X. Xie, and S. Zhang

The Southern African Institute of Mining and Metallurgy
Z. Hua X. Tong D. Feng X. Xie S. Zhang
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
13
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1820 KB
Publication Date:
Jan 1, 2020

Abstract

The separation and beneficiation of low grade collophanite has long been a technical challenge in phosphorous production. It requires the joint efforts of process design, reagents optimisation and operational control. In this study, the statistical response surface method was applied for determining the optimum reagent dosing in the flocculate flotation of a low grade (18.59%) collophanite ore. The dosage of three reagents, including a pH regulator (Na2CO3), depressant (Na2SiO3) and flocculant (modified starch), were input parameters of the modelling design. Two quadratic mathematical models were derived for prediction of grade and recovery based on the statistical design. Statistical analysis of the experimental results validates the reliability of the models. Through further calculation, the optimum dosage of the three reagents were found to be 3,020g/t Na2CO3, 1,990g/t Na2SiO3 and 880g/t modified starch, with which a maximum recovery of 75.81% and P2O5 grade of 30.08% was obtained from flocculate flotation test. Keywords: Process optimisation, modelling, froth flotation, collophanite ore, response surface methodology
Citation

APA: Z. Hua X. Tong D. Feng X. Xie S. Zhang  (2020)  Modelling and process optimization of phosphate flocculate flotation from collophanite using the response surface methodology, Z. Hua, X. Tong, D. Feng, X. Xie, and S. Zhang

MLA: Z. Hua X. Tong D. Feng X. Xie S. Zhang Modelling and process optimization of phosphate flocculate flotation from collophanite using the response surface methodology, Z. Hua, X. Tong, D. Feng, X. Xie, and S. Zhang. The Southern African Institute of Mining and Metallurgy, 2020.

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