Volume 4 (2020)
Improving efficiency
of iron ore thickening and deslurrying
Morkun Volodymyr1, Morkun Natalia1, Tron Vitalii1, Serdiuk Oleksandra1, Haponenko Iryna1 & Haponenko Alena1
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1Kryvyi Rih National University, Kryvyi Rih, Ukraine
- Phys. chem. geot. 2020
- Full text (PDF)
Purpose
The research is aimed at improving efficiency of thickening and deslurrying products of iron ore concentration and quality of magnetite concentrate by means of dynamic effects of controlled high-energy ultrasound and the magnetic field impacting ore slurry solids in the output product of the deslimer.
Methodology
The research is based on the systemic approach used to define regularities of high-energy ultrasound propagation in heterogeneous media, develop mathematical and simulating models of these processes and methods of improving thickening and deslurrying of iron ore concentrate by combining impacts of the ultrasonic and magnetic fields.
Findings
The method of controlling magnetic deslurrying of iron ore by combining impacts of ultrasonic and magnetic fields is suggested, this enabling improved efficiency of the magnetic deslimer due to preliminary removal of slurry from ore particle surfaces and disintegration of ore masses that may contain both the useful component and other undesired components. Besides, it enables forecasting ground ore particles’ gravitational deposition through assessing their behaviour under the action of the high-energy ultrasound in the magnetic field as well as controlling these impacts accordingly. Implementation of this approach provides increase of the Fetot mass fraction in concentrate, decrease of its extraction into deslurrying tailings and improvement of qualitative indices of multistage magnetic separation processes throughout the whole technological line of iron ore concentration.
They contain the researches which were conducted within the project 30-111-21 financed by the Ministry of Education and Science of Ukraine.
Keywords: deslimer, simulating modelling, ultrasound
References
- Arjmand R., Massinaei M., Behnamfard A. (2019). Improving flocculation and dewatering performance of iron tailings thickeners. Journal of Water Process Engineering. Vol. 31. 100873. https://doi.org/10.1016/j.jwpe.2019.100873
- Garmsiri M. R., Unesi M. (2018). Challenges and opportunities of hydrocyclone-thickener dewatering circuit: A pilot scale study. Minerals Engineering. Vol. 122. P. 206-210. https://doi.org/10.1016/j.mineng.2018.04.001
- Tripathy S. K., Murthy Y. R., Farrokhpay S., Filippov L. O. (2019). Design and analysis of dewatering circuits for a chromite processing plant tailing slurry. Mineral Processing and Extractive Metallurgy Review. https://doi.org/10.1080/08827508.2019.1700983
- Fawell, P.D., Nguyen, T.V., Solnordal, C.B., Stephens, D.W. (2019). Enhancing gravity thickener feedwell design and operation for optimal flocculation through the application of computational fluid dynamics. Mineral Processing and Extractive Metallurgy Review. https://doi.org/10.1080/08827508.2019.1678156
- Chen X., Jin X., Jiao H., Yang Y., Liu J. (2020). Pore connectivity and dewatering mechanism of tailings bed in raking deep-cone thickener process. Minerals. 10. 375. https://doi.org/10.3390/min10040375
- Liang G., Zhao Q., Liu B., Du Z., Xia X. (2021). Treatment and reuse of process water with high suspended solids in low-grade iron ore dressing. Journal of Cleaner Production. Vol. 278. 123493. https://doi.org/10.1016/j.jclepro.2020.123493
- Morkun, V., Morkun, N., Pikilnyak, A. (2014). The adaptive control for intensity of ultrasonic influence on iron ore pulp, Metallurgical and Mining Industry, 6(6), 8-11.
- Morkun, V., Morkun, N., Tron, V. (2015). Model synthesis of nonlinear nonstationary dynamical systems in concentrating production using Volterra kernel transformation, Metallurgical and Mining Industry, 7(10),6-9.
- Morkun, V., Morkun, N., Tron, V. (2015). Distributed control of ore beneficiation interrelated processes under parametric uncertainty, Metallurgical and Mining Industry, 7(8), 18-21.
- Morkun, V., Morkun, N., Tron, V. (2015). Distributed closed-loop control formation for technological line of iron ore raw materials beneficiation, Metallurgical and Mining Industry, 7(7), 16 19.
- Wang C., Ding J., Cheng R., Liu C., Chai T. (2017). Data-driven surrogate-assisted multi-objective optimization of complex beneficiation operational process. IFAC-PapersOnLine. Vol. 50. Iss. 1. P. 14982-14987. https://doi.org/10.1016/j.ifacol.2017.08.2561
- Dwari R. K., Angadi S. I., Tripathy S. K. (2018). Studies on flocculation characteristics of chromite’s ore process tailing: Effect of flocculants ionicity and molecular mass. Colloids and Surfaces A: Physicochemical and Engineering Aspects. Vol. 537. P. 467-477. https://doi.org/10.1016/j.colsurfa.2017.10.069
- Zhu L., Lyu W., Yang P., Wang Z. (2020). Effect of ultrasound on the flocculation-sedimentation and thickening of unclassified tailings. Ultrasonics Sonochemistry. Vol. 66. 104984. https://doi.org/10.1016/j.ultsonch.2020.104984
- Zhao Y., Meng L., Shen X. (2020). Study on ultrasonic-electrochemical treatment for difficult-to-settle slime water. Ultrasonics Sonochemistry. Vol. 64. 104978. https://doi.org/10.1016/j.ultsonch.2020.104978