Awareness of dust explosion hazards during silo filling operation is important for safety measures. Thus, information on particles-air flow field is required to assess the likelihood of the hazard. Flow field visualization via experimental investigation associated with difficulties and risks. Hence, in the present study, a modeling formulation using commercial computational fluid dynamics (CFD) code, FLUENT software was employed to predict an insight of flow field distribution, in terms of mean and root mean square (RMS) velocities vectors in cylindrical silo during axial filling. According to the simulation results, predicted flow field has a great influence to the silo height and distance to the silo wall due to gravitational force and movement of fugitive dust and re-circulation of air. The results showed that the predicted data were in very good agreement with experimental data obtained from the literature. The maximum error was around 10%. The study has gone some way towards enhancing our understanding of the particles-air behavior inside industrial equipments during filling operation.
Cite this paper
Rani, S. , Gimbun, J. and Aziz, B. (2014) Prediction of Particles-Air Movement in Silo during Filling Operation. Open Journal of Inorganic Non-metallic Materials
, 21-27. doi: 10.4236/ojinm.2014.43004
 CSB (2006) Investigation Report: Combustible Dust Hazard Study. Report No. 2006-H-1.
 Wypych, P., Cook, D. and Cooper, P. (2005) Controlling Dust Emissions and Explosion Hazards in Powder Handling Plants. Chemical Engineering and Processing: Process Intensification, 44, 323-326.
 Wardjiman, C., Lee, A., Sheehan, M., and Rhodes, M. (2009) Shape of a Particle Curtain Falling in Stagnant Air. Powder Technology, 192, 384-388. http://dx.doi.org/10.1016/j.powtec.2009.01.009
 Ansart, R., De Ryck, A., Dodds, J. A., Roudet, M., Fabre, D. and Charru, F. (2009) Dust Emission by Powder Handling: Comparison between Numerical Analysis and Experimental Results. Powder Technology, 190, 274-281.
 Hauert, F. and Vogl, A. (1995) Measurement of Dust Cloud Characteristics in Industrial Plants, Final Technical Report: Protecting People, Equipment, Buildings and Environment Against Dust Explosion-CREDIT Project. PL 910695.
 Rani, S.I., Gimbun, J. and Aziz, B.A. (2013) Modeling of Gas-Solid Turbulence Flow in Silo. Proceedings of the 6th International Conference on Process Systems Engineering (PSE ASIA 2013), Kuala Lumpur, 25-27 June 2013, 784- 789.
 Rani, S.I., Gimbun, J. and Aziz, B.A. (2014) CFD Simulation of Dust Cloud Formation in Silo. Australian Journal of Basic and Applied Sciences, 8, 521-527.
 Yakhot, V. and Orszag, S. (1986) Renormalization Group Analysis of Turbulence. I. Basic Theory. Journal of Scienti- fic Computing, 1, 3-51. http://dx.doi.org/10.1007/BF01061452
 Morsi, A.J. and Alexander, S.A. (1972) An Investigation of Particle Trajectories in Two-Phase Flow System. Journal of Fluid Mechanics, 55, 193-208. http://dx.doi.org/10.1017/S0022112072001806
 Ilea, C.G., Kosinski, P. and Hoffmann, A.C. (2008) Three-Dimensional Simulation of a Dust Lifting Process with Varying Parameters. International Journal of Multiphase Flow, 34, 869-878.
 Kosinski, P., Hoffmann, A.C. and Klemens, R. (2005) Dust Lifting behind Shock Waves: Comparison of Two Modelling Techniques. Chemical Engineering Science, 60, 5219-5230. http://dx.doi.org/10.1016/j.ces.2005.04.035