Key Laboratory of Coal Processing and Efficient Utilization of Ministry of Education, School of Chemical Engineering and Technology, China University of Mining and Technology, Xuzhou, Jiangsu 221116, People's Republic of China
2
Key Laboratory of Coal-based CO2 Capture and Geological Storage, Jiangsu Province, China University of Mining and Technology, Xuzhou, Jiangsu 221116, People's Republic of China
Corresponding author
Yanfeng Li
China University of Mining and Technology, China University of Mining and Technology,Jiangsu Province,China, 221116 Jiangsu Province,China, China
The motion characteristics of mineral particles in a modified fluidized bed (mFB) with inclined plates have been studied both theoretically and experimentally. A particulate sedimentation model is built on the fluidization superficial velocity, terminal settling velocity, the device dimensions, the particle properties, and the volume fraction of the particulate suspensions in the inclined channel, which is to describe the motion behavior of particles in mono-disperse suspensions. The experimental particles are a mixture of silica and sand particles with the sizes in the range of 425 - 710 μm and 710 - 880 μm, respectively. Further, the model is extended to describe bi-disperse suspensions. The experimental system is established to be consistent with the theoretical arrangements, aiming to provide more accurate measurements. Specifically, the prediction results are in good agreement with the experimental data with the absolute deviation less than 11%. The results showed that the average solid volume fraction in the inclined channel fluctuates slightly for a given total solid inventory. The theoretical model is of certain practical significance for applications of this system to the classification, separation, and desliming of minerals.
REFERENCES(20)
1.
ACRIVOS, A., HERBOLZHEIMER, E., 1979. Enhanced sedimentation in settling tanks with inclined walls. Journal of fluid mechanics, 92 (3), 435–457.
DAVIS, R.H., GECOL, H., 1996. Classification of concentrated suspensions using inclined settlers. International Journal of Multiphase Flow, 22 (3), 563–574.
DOROODCHI, E., FLETCHER, D.F., GALVIN, K.P., 2004. Influence of inclined plates on the expansion behaviour of particulate suspensions in a liquid fluidised bed. Chemical Engineering Science, 59 (17), 3559–3567.
GALVIN, K.P., NGUYENTRANLAM, G., 2002. Influence of parallel inclined plates in a liquid fluidized bed system. Chemical Engineering Science, 57 (7), 1231–1234.
GALVIN, K.P., ZHOU, J., WALTON, K., 2010. Application of closely spaced inclined channels in gravity separation of fine particles. Minerals Engineering, 23 (4), 326–338.
GALVIN, K.P., CALLEN, A., ZHOU, J., DOROODCHI, E., 2005. Performance of the reflux classifier for gravity separation at full scale. Minerals Engineering, 18 (1), 19–24.
GORJIKANDI, S., ALAVIAMLESHI, S.M., MOSTOUFI. N., 2016. Experimental investigating the effect of bed geometry on solids mixing in fluidized beds. Particulate Science and Technology, 34 (2), 127–133.
HUNTER, D.M., IVESON, S.M., GALVIN, K.P., 2014. The role of viscosity in the density fractionation of particles in a laboratory-scale Reflux Classifier. Fuel, 129 (4), 188–196.
IVESON, S.M., MASON, M., GALVIN, K.P., 2014. Gravity separation and desliming of fine coal: pilot-plant study using reflux classifiers in series. International Journal of Coal Preparation and Utilization, 34 (5), 239–259.
LEUNG, W.F., PROBSTEIN, R.F., 2002. Lamella and tube settlers. 1. Model and operation. Industrial and Engineering Chemistry Process Design and Development, 22 (1), 58–67.
NAKAMURA, N., KURODA, K., 1937. La cause de l’accélération de la vitesse de sédimentation des suspensions dans les r’ecipients inclinés Keijo. Journal of Medicine, 8, 256–296.
ZHOU, J., WALTON, K., LASKOVSKI, D., DUNCAN, P., GALVIN, K.P., 2006. Enhanced separation of mineral sands using the reflux classifier. Minerals Engineering, 19 (15), 1573–1579.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.