Copper recovery improvement by reducing the misreported copper minerals into the tailings of scavenger flotation circuit – Part II

Document Type : Research Paper

Authors

1 Department of Mining Engineering, Faculty of Engineering, Urmia University, Urmia, Iran.

2 Faculty of Engineering, University of Kashan, Kashan, Iran.

3 Complex of Copper Processing – Sungun, East Azerbaijan Province, Headquarters Rd, Tabriz, Iran.

4 School of Mining Engineering, University of Tehran, Tehran, Iran.

10.22059/ijmge.2023.358812.595065

Abstract

Loss of copper minerals in the tailings of the rougher and scavenger circuits poses a significant challenge in copper processing plants, diminishing the circuit's efficiency. Part I of this paper identified the causes of copper mineral loss in the scavenger circuit tailings of the Sungun copper concentration plant, situated in northwestern Iran. Changes in feed composition, particularly the ratio of copper oxide to sulfide minerals, along with alterations in the mineralogical properties of the input feed to the scavenger circuit, emerged as pivotal factors contributing to the loss of copper minerals into the tailings. In line with these findings, the objective of the present paper (part II) is to optimize the scavenger circuit by proposing a solution to mitigate the loss of copper minerals to the tailings. Samples were collected from the feed, concentrate, and final tailings, as well as from each cell of the scavenger circuit, followed by comminution and flotation tests on each sample. The results indicate that redirecting the scavenger circuit tailings to the input of the rougher cells, owing to their higher copper grade compared to the tailings of the rougher circuit, can enhance the circuit's recovery by more than 4%. Additionally, employing a combination of sulfide and oxide collectors, along with sulfidation to float the copper oxide minerals in the scavenger circuit, resulted in an overall recovery increase exceeding 11%. Furthermore, adjusting the size of the air bubbles to capture fine copper mineral particles from the scavenger circuit cells proved to be an effective strategy for boosting recovery. Moreover, modifying the grinding circuit to liberate the minerals present in the scavenger circuit feed, predominantly the concentrate of the scavenger circuit itself, led to a recovery increase of approximately 5%. Considering the mineralogical characteristics of the scavenger circuit feed, derived from the tailings of the cleaner cells, implementing changes in the operating conditions of the cleaner circuit—such as employing hybrid bubbles (Nano and coarse bubbles) and utilizing sulfide and oxide collectors—significantly impacted the recovery of fine copper mineral particles and copper oxide minerals to the cleaner concentrate, thereby enhancing the scavenger circuit's performance.

Keywords

Main Subjects


[1] Rahbari, M. (2022). Process mineralogy of flotation - scavenger circuit of copper concentration plant - Sungun Copper Complex. Master of Science Thesis in Mining Engineering – Mineral Processing, Urmia University.
[2] Bahrami, A., Kashani, R. H., Kazemi, F., & Ghorbani, Y. (2022). Oxidation-reduction effects in the flotation of copper sulfide minerals and molybdenite–A proof of concept at industrial scale. Minerals Engineering, 180, 107505. https://doi.org/10.1016/j.mineng.2022.107505
[3] Bahrami, A., Mirmohammadi, M., Ghorbani, Y., Kazemi, F., Abdollahi, M., & Danesh, A. (2019). Process mineralogy as a key factor affecting the flotation kinetics of copper sulfide minerals. International Journal of Minerals, Metallurgy, and Materials, 26, 430-439. https://doi.org/10.1007/s12613-019-1733-9
[4] Cisternas, L. A., Méndez, D. A., Gálvez, E. D., & Jorquera, R. E. (2006). A MILP model for design of flotation circuits with bank/column and regrind/no regrind selection. International Journal of Mineral Processing, 79(4), 253-263. https://doi.org/10.1016/j.minpro.2006.03.005
[5] Marković, Z. S., Janković, A., & Tomanec, R. (2008). Effect of particle size and liberation on flotation of a low grade porphyry copper ore. Journal of Mining and Metallurgy A: Mining, 44(1), 24-30.
[6] Shrimali, K., Jin, J., Hassas, B. V., Wang, X., & Miller, J. D. (2016). The surface state of hematite and its wetting characteristics. Journal of colloid and interface science, 477, 16-24. https://doi.org/10.1016/j.jcis.2016.05.030
[7] Espinoza-Ortega, O., Song, S., Lopez-Valdivieso, A., Galindo-Murillo, F., & Reyes-Bahena, J. L. (2003). Regrinding and floc-flotation of silver sulphide scavenger concentrate. Mineral Processing and Extractive Metallurgy, 112(2), 90-94. https://doi.org/10.1179/037195503225002772
[8] Ekmekçi, Z. A. F. İ. R., Can, M., Ergün, Ş. L., Gülsoy, Ö. Y., Benzer, H., & Çelik, İ. B. (2005, June). Performance evaluation of ÇBİ flotation plant using mineralogical analysis. In The 19th International Mining Congress and Fair of Turkey, İzmir (pp. 233-240).
[9] Agheli, S., Hosseini, M., Haji Amin Shirazi, H., & Vaziri Hassas, B. (2020). A novel regrinding circuit to deal with fluctuation in feed grade at the Sarcheshmeh copper complex. Separation Science and Technology, 55(1), 98-111. https://doi.org/10.1080/01496395.2018.1561718
[10] Celik, I. B., Can, N. M., & Sherazadishvili, J. O. H. N. (2010). Influence of process mineralogy on improving metallurgical performance of a flotation plant. Mineral Processing & Extractive Metallurgy Review, 32(1), 30-46. https://doi.org/10.1080/08827508.2010.509678
[11] Asghari, M., Nakhaei, F., & VandGhorbany, O. (2019). Copper recovery improvement in an industrial flotation circuit: A case study of Sarcheshmeh copper mine. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 41(6), 761-778. https://doi.org/10.1080/15567036.2018.1520356
[12] Mohammadi, J., Shojaei-Baghini, V., Khoshdast, H., & Musavi, S. (2018). Investigating the possibility of recovery the tails of cleaner-scavenger flotation circuit of the Midovk copper complex. The Chemistry conference, Tehran – Iran. https:// bbec.ac.in/wp-content/uploads/wpforo/default_
attachments/1628309142-FLUID-MECHANICS-COMPREESIBLE-FLOW-NOTES.pdf.
[2] Cross, H. (1936). Analysis of Flow in Networks of Conduits or Conductors. Bulletin 286, Engineering Experiment Station, University of Illinois, Urbane, 29 pp.
[3] Basha, H.A., and Kassab, B.G. (1996). Analysis of water distribution systems using a perturbation method. Appl Math Model. 20(4):290–7.
[4] Arsene, C.T.C., Bargiela, A., and Al-Dabass, D. (2004). Modelling and simulation of water systems based on loop equations. Int J Simul, 5(1-2):61–72.
[5] Giustolisi, O. (2010). Considering actual pipe connections in water distribution network analysis. Journal of Hydraulic Engineering. 136(11):889-900.
[6] Ayad, A., Awad, H., and Yassin, A. (2013). Developed hydraulic simulation model for water pipeline networks. Alexandria Eng, J. 52:43–49.
 [7] Boanoa, F., Scibettab, M., Ridolfia, L., and Giustolisic, O. (2015). Water distribution system modeling and optimization: a case study. Procedia Engineering 119:719 – 724.
[8] Creacoa, E., and Franchinib, M. (2015). The identification of loops in water distribution networks. Procedia Engineering. 119:506 – 515. 
[9] Coelho, PM., and Pinho, C. (2007). Considerations about equations for steady state flow in natural gas pipelines. J Brazil Soc Mech Sci Eng. 29(3):262–73.
[10] Brkic, D. (2009). An improvement of Hardy Cross method applied on looped spatial natural gas distribution networks. Applied Energy. 86:1290-1300.
 [11] Wang, Y.J. (1982). Ventilation Network Theory, Mine Ventilation and Air Conditioning. 2nd ed., H. L. Hartman (Ed.), Wiley-Interscience, NY. 167-195.
[12] Wang, Y.J. (1982). Critical Path Approach to Mine Ventilation Networks with Controlled Flow. Trans. SME-AIME. 272:1862-72.