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Thickeners are process units that are often used at mining enterprises. There, they are involved in dehydration of mineral con-centration products when water is removed from wet tailings containing metal concentrates. In mineral processing, large quantities of process water are used to separate different minerals from each other, so dehydration plays a major role in ore processing and preparation for concentration. This research aims to develop methods and tools of ultrasonic measurement of characteristics of settlement of solid-phase slurry particles and to assess their possible application to the automatic control system of the thickener to improve its efficiency.
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Rocznik
Tom
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410--416
Opis fizyczny
Bibliogr. 35 poz., rys., wykr.
Twórcy
autor
- Faculty of Information Technologies, Department of Automation, Computer Science and Technology, Kryvyi Rih National University, 11 Vitalii Matusevych St., Kryvyi Rih, 50027, Ukraine
autor
- Chair of Measurement and Control Systems, Bayreuth University, Universitätsstraße, 30, Bayreuth, Germany
autor
- Faculty of Information Technologies, Department of Automation, Computer Science and Technology, Kryvyi Rih National University, 11 Vitalii Matusevych St., Kryvyi Rih, 50027, Ukraine
autor
- Faculty of Information Technologies, Department of Automation, Computer Science and Technology, Kryvyi Rih National University, 11 Vitalii Matusevych St., Kryvyi Rih, 50027, Ukraine
autor
- Research Department, Kryvyi Rih National University, 11 Vitalii Matusevych St., Kryvyi Rih, 50027, Ukraine
autor
- Research Department, Kryvyi Rih National University, 11 Vitalii Matusevych St., Kryvyi Rih, 50027, Ukraine
Bibliografia
- 1. Segovia J.P., Concha F., Sbarbaro D. On the control of sludge level and underflow concentration in industrial thickeners. Preprints of the 18th IFAC World Congress Milano (Italy) August 28 - September 2. 2011: 8571-8576
- 2. Jiao H., Chen W., Wu A., Yu Y., Ruan Z., Honaker R., Chen X., Yu J. Flocculated unclassified tailings settling efficiency improvement by particle collision optimization in the feedwell, Int. J. Miner. Metall. Ma-ter. 2021; 29: 2126–2135. https://doi.org/10.1007/s12613-021-2402-3.
- 3. Jiao H., Wu Y., Wang H., Chen X., Li Z., Wang Y., Zhang B., Liu J. Micro-scale mechanism of sealed water seepage and thickening from tailings bed in rake shearing thickener. Minerals Engineering. 2021; 173:107043. https://doi.org/10.1016/j.mineng.2021.107043.
- 4. Betancourt F., Urger R., Diehl S., Faras S. A model of clarifier-thickener control with time-dependent feed properties. Presented at Physical Separation '13, Falmouth, UK, June 20 and 21, 2013: 1-21
- 5. Krivonosov V.A., Kozyr O.F. Control system for a magnetic thicken-ing in the technological process of iron ore enrichment. Scientific and practical electronic journal Alley of Science. 2018; 4(20): 125-129.
- 6. Tripathy S.K., Murthy Y.R., Farrokhpay S., Filippov L.O. Design and analysis of dewatering circuits for a chromite processing plant tailing slurry. Mineral Processing and Extractive Metallurgy Review. 2021;42(2):102-114. https://doi.org/10.1080/08827508.2019.1700983.
- 7. Fawell P.D., Nguyen T.V., Solnordal C.B., Stephens D.W. Enhancing gravity thickener feedwell design and operation for optimal floccula-tion through the application of computational fluid dynamics. Mineral Processing and Extractive Metallurgy Review. 2021;42(7):496-510. https://doi.org/10.1080/08827508.2019.1678156.
- 8. Aitomaki Y. Towards a measurement of paper pulp quality: ultrasonic spectroscopy of fibre suspensions [licentiate thesis] Lulea(Sweden): Lulea University of Technology; 2006
- 9. Chen X., Jin X., Jiao H., Yang Y., Liu J. Pore connectivity and dewater-ing mechanism of tailings bed in raking deep-cone thickener process. Minerals. 2020;10:375. https://doi.org/10.3390/min10040375
- 10. Liang G., Zhao Q., Liu B., Du Z., Xia X. Treatment and reuse of process water with high suspended solids in low-grade iron ore dressing. Journal of Cleaner Production. 2021;278:123493. https://doi.org/10.1016/j.jclepro.2020.123493
- 11. Advanced thickener control [Internet] [place unknown]: Metso Ou-totec; 2017 Jun 13; cited 2022 May 18. Available from: https://www.mogroup.com/insights/blog/mining-and-metals/advanced-thickener-control/ Jun 14, 2017
- 12. Michaud L.D. Thickener Process Control Strategy [Internet] [place unknown]: 911 Metallurgist; 2017 Oct 1. cited 2022 May 18. Available from: https://www.911metallurgist.com/blog/thickener-process-control-strategy
- 13. Control strategies for thickeners [Internet] [place unknown]: Rhoson-ics; 2021 Mar 11; cited 2022 May 18. Available from: https://rhosonics.com/news/control-strategies-for-thickeners
- 14. Xu N., Wang X., Zhou J., Wang Q., Fang W., Peng X. An intelligent control strategy for thickening process. International Journal of Min-eral Processing. 2015;142:56-62. https://doi.org/10.1016/j.minpro.2015.01.007
- 15. Zhang J., Yin X., Liu J. Economic MPC of deep cone thickeners in coal benedication. The Canadian Journal of Chemical Engineering. 2016;94(3):498-505. https://doi.org/10.1002/cjce.22419
- 16. Tan C.K., Setiawan R., Bao J., Bickert G. Studies on parameter estimation and model predictive control of paste thickeners. Journal of Process control. 2015;28:1-8. https://doi.org/10.1016/j.jprocont.2015.02.002
- 17. Basics in Minerals Processing Handbook [Internet] [place unknown]: Metso Outotec; cited 2022 May 18. Available from: https://www.mogroup.com/insights/e-books/basics-in-minerals-processing-handbook/
- 18. Teerikoski S. Optimal control of clarifier-thickeners [Independent thesis Advanced level (professional degree)]. Uppsala(Sweden): Uppsala University; 2017
- 19. Chai T., Li H., Wang H., An intelligent switching control for the inter-vals of concentration and flow-rate of underow slurry in a mized sep-aration thickener. IFAC Proceedings Volumes. 2014;47:338-345. https://doi.org/10.3182/20140824-6-ZA-1003.02114
- 20. Golik V., Komashchenko V., Morkun V., Zaalishvili V.. Enhancement of lost ore production efficiency by usage of canopies. Metallurgical and Mining Industry. 2015;7(4):325-329
- 21. Burger R., Diehl S., Faras S., Nopens I., Torfs E. A consistent model-ling methodology for secondary settling tanks: a reliable numerical method. Water Science & Technology. 2013;68(1):192-208. https://doi.org/10.2166/wst.2013.239
- 22. Barth A., Burger R., Kroker I., Rohde C. Computational uncertainty quantification for a clarifier-thickener model with several random per-turbations: A hybrid stochastic Galerkin approach. Computers & Chemical Engineering. 2016;89:11-26. http://dx.doi.org/10.1016/j.compchemeng.2016.02.016.
- 23. Morkun V., Morkun N., Pikilnyak A. Iron ore flotation process control and optimization using high-energy ultrasound. Metallurgical and Mining Industry. 2014;6(2):36–42
- 24. Morkun V., Morkun N., Pikilnyak A.. The gas bubble size distribution control formation in the flotation process. Metallurgical and Mining Industry. 2014;6(4):42–45
- 25. Morkun V., Morkun N., Pikilnyak A. Simulation of high-energy ultra-sound propagation in heterogeneous medium using k-space method. Metallurgical and Mining Industry. 2014;6(3):23–27
- 26. Morkun V., Morkun N. Estimation of the crushed ore particles density in the pulp flow based on the dynamic effects of high-energy ultra-sound. Archives of Acoustics. 2018;43(1):61–67. http://dx.doi.org/10.24425/118080
- 27. Kilic O. Application of ultrasonic velocity measurement and thermal analysis for the determination of the limestone quality. Physicochem-ical Problems of Mineral Processing. 2014;50(2):525-534. http://dx.doi.org/10.5277/ppmp140209
- 28. Morkun V., Morkun N., Tron V., Hryshchenko S., Serdiuk O., Dotsen-ko I. Basic regularities of assessing ore pulp parameters in gravity settling of solid phase particles based on ultrasonic measurements. Archives of Acoustics. 2019;44(1):161-167. http://dx.doi.org/10.24425/aoa.2019.126362
- 29. Kapranov B.I., Kalinichenko A.N. Determination of the speed of sound propagation in metallic and non-metallic materials [lecture notes], Tomsk(RU), National Research Tomsk Polytechnical University; 2018
- 30. Morkun V., Tron V. Automation of iron ore raw materials beneficiation with the operational recognition of its varieties in process streams. Metallurgical and Mining Industry. 2014;6(6):4-7
- 31. Morkun V., Morkun N., Tron V. Model synthesis of nonlinear nonsta-tionary dynamical systems in concentrating production using Volterra kernel transformation. Metallurgical and Mining Industry. 2015;7(10):6–9
- 32. Morkun V., Morkun N., Tron V. Identification of control systems for ore-processing industry aggregates based on nonparametric kernel estimators. Metallurgical and Mining Industry. 2015;7(1):14–17
- 33. Burger R., Diehl S., Faras S., Nopens I. On reliable and unreliable numerical methods for the simulation of secondary settling tanks in wastewater treatment. Computers and Chemical Engineering. 2012;41:93-105. https://doi.org/10.1016/j.compchemeng.2012.02.016
- 34. Betancourt F., Burger R., Diehl S., Faras S., Modeling and controlling clarifier-thickeners fed by suspensions with time-dependent proper-ties. Minerals Engineering. 2014;62:91-101. https://doi.org/10.1016/j.mineng.2013.12.011
- 35. Bergh L., Ojeda P., Torres L. Expert Control Tuning of an Industrial Thickener. IFAc-PapersOnLine. 2015;48(17):86-91. https://doi.org/10.1016/j.ifacol.2015.10.083
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a550a11b-35a6-4cbc-8152-26e5dc42900b