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In order to investigate the impact of density on the classification behavior of particles in the static classifier of Vertical Spindle Mill, the sensitivity of overflow yield to the increase of air amount for narrowly sized pyrite, carborundum, quartz and coal samples were compared in a lab-scale classifier, respectively. Response surface methodology is used to analyze the combined effect of size and density on the classification. Wide size classification was also conducted and results show that both the yield and R90 of overflow increase with the decreasing of density, and the growth of air amount would also lead them to rise. The Whiten’s model was applied to illustrate the influence of density on the sharpness of classification, corrected cut size and fishhook effect. Results show that material with a lower density would have a higher fishhook effect parameter, classification sharpness and corrected cut size. The increase of air amount would result in a more evident fishhook effect for the high density material. Based on the Whiten’s model, a new classification efficiency model with the addition of particle density in various forms was established. This new model could describe the classification efficiency of materials with different density in the identical experiment conditions.
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Tom
Strony
494--503
Opis fizyczny
Bibliogr. 18 poz., rys., tab.
Twórcy
autor
- School of Environment & Resource, Southwest University of Science & Technology, Mianyang, Sichuan 621010, China
- School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China
autor
- Advanced Analysis & Computation Center, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China
autor
- School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China
autor
- Chemical & Environmental Engineering College, Shandong University of Science & Technology, Qingdao, Shandong, 266590, China
autor
- School of Chemical Engineering and Technology, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China
autor
- Advanced Analysis & Computation Center, China University of Mining & Technology, Xuzhou, Jiangsu 221116, China
Bibliografia
- ALTUN, O., TOPRAK, A., BENZER, H., Darilmaz, O., 2016. Multi component modeling of an air classifier. Miner. Eng. 93, 50-56.
- ATAŞ, S., TEKIR, U., PAKSOY, M.A., ÇELIK, A., ÇAM, M., SEVGEL, T., 2014. Numerical and experimental analysis of pulverized coal mill classifier performance in the Soma B Power Plant. Fuel Process. Technol. 126, 441-452.
- BHASKER C., 2002. Numerical simulation of turbulent flow in complex geometries used in power plants. Adv. in Eng. Software. 33, 71-83.
- KIS, P.B., MIHÁLYKÓ, C., LAKATOS, B.G., 2005. Optimising design of continuous grinding mill-classifier systems, Che. Eng. Process. 44, 273-277.
- KIS, P.B., MIHÁLYKÓ, C., LAKATOS, B.G., 2006. Discrete model for analysis and design of grinding mill-classifier systems. Che. Eng. Process. 45, 340-349.
- KOJOVIC, T., SHI, F.N., BRENNAN, M., 2015. Modelling of vertical spindle mills. Part 2: Integrated models for E-mill, MPS and CKP mills. Fuel. 143, 602-611.
- LI, H., HE, Y.Q., SHI, F.N., ZUO, W.R., ZHOU, N.X., WEI, H., WANG, S., XIE, W.N., 2016. Performance of the static air classifier in a vertical spindle mill. Fuel. 177, 8-14.
- ÖZER, C.E., WHITEN, W.J., SHI, F., DIXON, T., 2010. Investigation of the classification operation in a coal pulverising vertical spindle pulveriser. Brisbane: XXV International Mineral Processing Congress. 1065–1076.
- ÖZER, C.E., 2011. A New Multi-Component Model for the Vertical Spindle Mill. PhD Thesis. University of Queensland (JKMRC), Australia.
- PARHAM, J.J., EASSON, W.J., 2003. Flow visualisation and velocity measurements in a vertical spindle coal mill static classifier. Fuel. 82, 2115-2123.
- SATO, K., MEGURI, N., SHOJI, K., KANEMOTO, H., HASEGAWA, T., MARUYAMA, T., 1996. Breakage of coals in ring-roller mills Part I. The breakage properties of various coals and simulation model to predict steady-state mill performance. Powder Technol. 86, 275-283.
- SHAH, K.V., VUTHALURU, R., VUTHALURU, H.B., 2009. CFD based investigations into optimization of coal pulveriser performance: Effect of classifier vane settings. Fuel Process. Technol. 90(9): 1135-1141.
- SHI, F.N., HE, Y.Q., 2011, April. Efficiency improvements in coal fired utilities, Asia-Pacific Partnership on Clean Development and Climate.
- SHI, F.N., KOJOVIC, T., BRENNAN, M., 2015. Modelling of vertical spindle mills. Part 1: Sub-models for comminution and classification. Fuel. 143, 595-601.
- VUTHALURU, H.B., PAREEK, V.K., VUTHALURU, R., 2005. Multiphase flow simulation of a simplified coal pulveriser. Fuel Process. Technol. 86(11), 1195-1205.
- WANG, S., 2013. Particle separation behavior of recirculating load of power station pulverizer in the dilute phase vibrated gas-solid fluidized bed. PhD Thesis. Xuzhou: China University of Mining and Technology.
- WEI, H., HE, Y.Q., SHI, F.N., ZHOU, N.X., WANG, S., GE, L.H., 2014. Breakage and separation mechanism of ZGM coal mill based on parameters optimization model. Inter. J. Min. Sci. Technol. 24(2), 285-289.
- XIE, W.N., 2016. Fundamental research on grinding kinetics of vertical spindle pulverizer in coal power plants based on energy characterized parameters. PhD Thesis. Xuzhou: China University of Mining and Technology.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-95c50720-49ad-4b23-88ad-23e19359fee3