SciELO - Scientific Electronic Library Online

 
vol.115 issue5Unplanned dilution and ore loss prediction in longhole stoping mines via multiple regression and artificial neural network analyses author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Journal of the Southern African Institute of Mining and Metallurgy

On-line version ISSN 2411-9717

Abstract

ZHANG, H.L.; ZHOU, C.Q.; BING, W.U  and  CHEN, Y.M.. Numerical simulation of multiphase flow in a Vanyukov furnace. J. S. Afr. Inst. Min. Metall. [online]. 2015, vol.115, n.5, pp. 457-463. ISSN 2411-9717.

Multiphase flow in the widely used Vanyukov furnace was numerically studied. An unsteady three-dimensional and three-phase flow model was firstly built using the computational fluid dynamics (CFD) software ANSYS FLUENT®, and then solved with the volume of fluid (VOF) and k - ε model. The results showed that the proposed model could be used to predict the multiphase movement, the slag/air fluctuation, the vortex formation, and effects of structural and operational parameters. By fast Fourier transform (FFT), the dominant frequency of density with time signal was calculated as 0.29 Hz. The analysis of different injection flow rates of enriched air indicated that this variable has a major effect on the mean slag velocity. The peak mean velocity increased from 2.17 to 4.99 m/s while the flow rate of enriched air varied from 70 to 160 m/s. The proposed model provides a method to optimize the furnace structure and operating conditions for the best furnace performance and lowest energy consumption.

Keywords : Vanyukov furnace; multiphase flow; numerical simulation; fast Fourier transform; structure optimization; operation condition optimization.

        · text in English     · English ( pdf )