Investigation of separation performance of dense medium cyclone using computer simulation

• Autorzy: Umucu Y.

Identyfikatory

DOI

10.5277/ppmp150127

• Języki publikacji: EN

Abstrakty

EN

Dense medium coal processing technology has been widely used in coal preparation industries in the world since it is the most accurate and efficient coal preparation process to obtain clean coal with a highest possible yield. Separation of coal and impurities using this technology is based on density differences. In literature, a number of mathematical models exist for dense medium cyclones. One of the most widely used model in the coal industry was developed by Mineral Technologies, Inc. This model consists of the equation which predicts the operating performance of a well maintained dense medium separator for a given cyclone geometry (including cyclone diameter) and separation density. In this study, MODSIM© (education/demo version) dense medium cyclone model was applied to coal preparation plant owned by Soma Uyar Mining Co. As a result, the float-sink test results at separation density of the dense medium cyclone were predicted.

Słowa kluczowe

EN

coal; dense medium cyclone; washability; float-sink test

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2015
• Tom: Vol. 51, iss. 1
• Strony: 303--314
• Opis fizyczny: Bibliogr. 16 poz., rys., tab.

Twórcy

autor

Umucu Y.

• Department of Mining Engineering, Division of Mineral Processing, Suleyman Demirel University, Isparta, TURKEY

Bibliografia

• 1. BURT R. O., 1984, Gravity Concentration Technology, Amsterdam, Elsevier.
• 2. CARMOLA R.E., HOOVER M.R., KIM J.M. and KLODA S.J., 1983, Computer Simulation of Synthetic Fuels Feed Preparation Circuits, Proceedings of the First Conference on use of Computers in the Coal Industry, AIME, New York,l77-186.
• 3. CHAVES M.M. and SOTTFRIED B.S., 1983, Microcomputer Simulation of Coal Preparation Plants, Proceedings of the First Conference on Use of Computers in the Coal Industry, AIME, New York, l73-176.
• 4. DAS T. B., PAL S. K., GOURICHARAN T., SHARMAK. K. and CHOUDHURY A., 2013, Evaluation of Reduction Potential of Selected Heavy Metals from an Indian Coal by Conventional Coal Clean-ing. International Journal of Coal Preparation and Utilization, 33, 300-312.
• 5. GOTTFRIED B. S.& JACOBSEN P. S., 1977, Generalized distribution curve for characterizing the performance of coal-cleaning equipment (No. BM-RI-8238), Bureau of Mines, Washington, DC, USA.
• 6. GOTTFRIED B.S., LUCKIE P.T. and TIERNY J.W., 1982, Computer Simulation of Coal Preparation Plants, U.S. DOE, 208 Report No. DOE/PC/30144 - T7, 285.
• 7. GOVINDARAJAN B. and RAOT. C., 1994, A simple equation for float sink data, Mineral Eng., 7, 1441-1446.
• 8. ISO METHOD 1171, International Standard specifies a method for the determination of the ash of all solid Mineral Fuels-Determination of ash.
• 9. KATTI A. MISHRA, B. K. and MEHROTRAS. P., 1997, Simulation of industrial gravity separation processes using a general purpose simulator, Proceedings of National Seminar on Processing of Fines, NML Jamshedpur, January 9-10, 229-239.
• 10. KING R.P. 2001, Modeling and Simulation of Mineral Processing System, Department of Metallurgical Engineering University of Utah, USA.
• 11. LEONARD J.W., 1979, Coal Preparation, AIME, 4th Edition, New York.
• 12. LEONARD IV J.W. and LEONARD J.W., 1983, Using Tromp Curves to Diagnose Performance Prob-lems in Coal Cleaning in Basic Mathematics and Computer Techniques for Coal Preparation and Mining, Ed. K.K. Humphreys and J.W. Leonard Marcel Dekker Inc., 71-79.
• 13. LUTYNSKI A.& LUTYNSKI M., 2014, Assessment of coal slurry deposits energetic potential and pos-sible utilization paths, Physicochem. Probl. Miner. Process., 50(1), 159-168.
• 14. NAPIER-MUNN T.J. and LYNCH A.J., 1992, The Modeling and Computer Simulation of Mineral Treatment Processes Current Status and Future Trends, Minerals Engineering, 5(2), l43-167.
• 15. OSBORNE D.G., 1988, Coal Preparation Technology Vol. 1, Graham and Trotman Ltd., Chapter 8, London.
• 16. SASTRY K.V.S. and ADEL S.T., 1985, A Survey of Computer Simulation Software for Mineral Pro-cessing Systems, Control 84 Mineral/Metallurgical Processing, J.A. Herbst (Editor), AIME, New York, l21-130.