Optimization of Molybdenite Flotation Using Response Surface Method
R. Badri1, A.R. Khanchi2, A.R. Zojaji1, A.A. Rahmani3
1University of Tehran, Tehran, Iran
2Nuclear Science and Technology Research Institute, Tehran, Iran
3University of Imam Khomeini, Qazvin, Iran
Min. miner. depos. 2018, 12(1):12-18
Full text (PDF)
Purpose. The paper is aimed to study the molybdenite flotation from a low-grade uranium ore containing 0.2% of Mo.
Methods. Three control parameters including frother (MIBC) dosage, collector (gasoline) dosage and pH, each in five levels, were investigated. Response surface methodology (RSM) was performed for statistical design and analysis of experiments and process modeling. Four quadratic mathematical models were derived for prediction of Mo recovery and Mo grade.
Findings. Analysis of variance showed that frother and collector dosage were the most significant factors affecting Mo recovery and grade. In process optimization, maximum values of Mo recovery and grade were achieved as 79.13% and 2.93%, respectively. Optimum frother concentration of 78.93 g/t, gasoline dosage of 507.70 g/t, and pH of 9.77, for Mo recovery were obtained. However, in optimization studies, a case proposed the model in which the same consumption of reagents is used.
Originality. There is a recognized need for type of uranium ore which contains Molybdenite, therefore working on molybdenite removing from this ore helps to recover uranium in the next steps. This research provides a novel approach to gain the optimum recovery and grade to extract uranium so easily.
Practical implications. This study showed that response surface methodology could be effectively used for flotation process modeling as well as finding an optimum condition to achieve maximum recovery and grade under minimum consumption of flotation reagents.
Keywords: molybdenite, flotation, response surface methodology, central composite design, design of experiments
Anderson, M.J., & Whitcomb, P.J. (2007). DOE Simplified Practical Tools for Effective Experimentation. London: CRC Press, Taylor & Francis Group.
Bezerra, M.A., Santelli, R.E., Oliveira, E.P., Villar, L.S., & Escaleira, L.A. (2008). Response Surface Methodology (RSM) as a Tool for Optimization in Analytical Chemistry. Talanta, 76(5), 965-977.
Biswas, A.K., & Davenport, W.G. (2013). Extractive Metallurgy of Copper: International Series on Materials Science and Technology, (20). Netherlands: Elsevier.
Brown, R.A., Box, G.E.P., & Draper, N.R. (1990). Empirical Model-Building and Response Surfaces. Biometrics, 46(1), 283-284.
Bulatovic, S.M., Wyslouzil, D.M., & Kant, C. (1998). Operating Practices in the Beneficiation of Major Porphyry Copper/Molybdenum Plants from Chile: Innovated Technology and Opportunities, A Review. Minerals Engineering, 11(4), 313-331.
Fuerstenau, M.C., Jameson, G.J., & Yoon, R.H. (2007). Froth Flotation: A Century of Innovation. Dearborn: SME.
Garner, C.D. (1994). The Chemical Nature of the Molybdenum Centres in Enzymes. Studies in Inorganic Chemistry, 403-418.
Grice, J.V., & Montgomery, D.C. (2000). Design and Analysis of Experiments. Technometrics, 42(2), 208-209.
Gupta, C.K. (1992). Extractive Metallurgy of Molybdenum. London: CRC Press, Taylor & Francis Group.
Hernlund, R.W. (1961). Extraction of Molybdenite from Copper Fotation Products. Colorado School of Mines Quarterly, 56(3), 179-196.
Mason, R.L., Gunst, R.F., & Hess, J.L. (2003). Statistical Design and Analysis of Experiments. Hoboken: John Wiley & Sons.
Rath, R., & Subramanian, S. (1999). Adsorption, Electrokinetic and Differential Flotation Studies on Sphalerite and Galena Using Dextrin. International Journal of Mineral Processing, 57(4), 265-283.
Rubio, J., Capponi, F., Rodrigues, R.T., & Matiolo, E. (2007). Enhanced Flotation of Sulfide Fines Using the Emulsified Oil Extender Technique. International Journal of Mineral Processing, 84(1-4), 41-50.
Schena, G., & Casali, A. (1994). Column Flotation Circuits in Chilean Copper Concentrators. Minerals Engineering, 7(12), 1473-1486.
Shirley, A., & Sutulov, J.F. (1985). Molybdenum. New York: AIME.
Smit, F.J., & Bhasin, A.K. (1985). Relationship of Petroleum Hydrocarbon Characteristics and Molybdenite Flotation. International Journal of Mineral Processing, 15(1-2), 19-40.
Triffett, B., Veloo, C., Adair, B.J.I., & Bradshaw, D. (2008). An Investigation of the Factors Affecting the Recovery of Molybdenite in the Kennecott Utah Copper Bulk Flotation Circuit. Minerals Engineering, 21(12-14), 832-840.
Whitcomb, P.J., & Anderson, M.J. (1996). Robust Design-Reducing Transmitted Variation: Finding the Plateaus via Rresponse Surface Methods. In Annual Quality Congress Proceedings-American Society for Quality Control, (pp. 642-651).
Yin, W., Zhang, L., & Xie, F. (2010). Flotation of Xinhua Molybdenite Using Sodium Sulfide as Modifier. Transactions of Nonferrous. Metals Society of China, 20(4), 702-706.
Zanin, M., Ametov, I., Grano, S., Zhou, L., & Skinner, W. (2009). A Study of Mechanisms Affecting Molybdenite Recovery in a Bulk Copper/Molybdenum Flotation Circuit. International Journal of Mineral Processing, 93(3-4), 256-266.