Scholarly record
STUDY OF THE CONJUGATE SOLUTION OF ROCKY DEM AND ANSYS FLUENT SOFTWARE FOR MODELING THE SINGLE-PHASE FLUID-SOLID SYSTEM FOR FURTHER MODELING OF GRINDING PROCESSES
Abstract
At the present time, the grinding efficiency of minerals is a topical issue for the mining industry, since the grinding process is the most energy-consuming one. For each granulometric composition of the grinded material and grinding bodies, as well as for a number of other factors, there is a certain dependence, which should meet the highest efficiency of the grinding process. The creation of grinding models using modern technologies will contribute to improvement of the grinding equipment in order to reduce the energy consumption and enhance the quality of the obtained materials. The authors have modelled the motion of the medium in a ball mill using the Discrete Element Method (DEM). Many processes in the mining industry are related to the movement of particles in a fluid flow, e.g., the wet grinding process in a mill is modelled by computational fluid dynamics (CFD).The purpose of this paper is to study the potential application of the conjugate DEM-CFD approach to model fluid-particle systems and to apply the results for modelling wet grinding in ball mills. The paper gives the results of the conjugate DEM-CFD approach: velocity data of each individual particle with respect to any of the axes; position of particles with respect to the axes; trajectories of particles over the whole modelling period; dependence of the maximum absolute progressive velocity of particles. A graphical representation of the interaction of upward fluid (water) flow with solid particles was obtained.
Publication Impact Profile
Publication details
ReferencesPending
Structured references will appear here after the reference import pass. The count is preserved now so the scholarly record is not incomplete.
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.

