Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Parameter estimation for discrete element methods (DEM) in the simulation of iron ore flow
Submission Author:
José Cléber Rodrigues da Silva , PA
Co-Authors:
José Cléber Rodrigues da Silva, Rogério Marczak
Presenter: José Cléber Rodrigues da Silva
doi://10.26678/ABCM.COBEM2023.COB2023-2088
Abstract
The discrete element method (DEM) has been increasingly used in flow simulation studies of granular materials in mining industry equipment (Classification, Comminution and Transport). This method consists of a computational technique that simulates the behavior of a granular material through the solution of particle motion equations, duly discretized and characterized by simulating the interaction between particles and geometries. For a closer to real characterization of the behavior of the flow of granulated materials, it is necessary to obtain input parameters (Coefficient of static friction, Coefficient of restitution, Coefficient of rolling friction), and the properties and mechanical characteristics of both. particles and geometries (specific mass, Poisson's ratio, shear modulus). Therefore, it is necessary to obtain these parameters through calibration methods. To date, there is no specific technical standard for applying this calibration, therefore, this article proposes to present a methodology for calibrating parameters, using iron ore as granulated material (Friable Hematite, “Canga” Iron Ore and Jaspilite, with variation in humidity, silica, alumina and Mn percentages). Laboratory tests combined with flow analysis in real equipment are used for validation, in addition to computer simulation models to determine static angles of repose and comparisons with DEM simulations and flows in real equipment such as vibrating screens and chutes. transfer. In the calibration for a blend of 40% friable hematite and 60% ore yoke, angles of repose ranging from approximately 32º to 70º and internal friction coefficients in the order of 2.88 to 3.78 were obtained, among other parameters. With DEM simulations using the parameters raised and after improvements to the equipment, we can see a reduction in failures due to handling and classification problems, as in the case of the rollerscreen sieve where the reduction was around 91%, in the modes of crash failure and overload and an increase in MTBF, in the order of 95%. The application of this calibration method allows obtaining a set of more assertive parameters for DEM simulation models in iron ore handling equipment.
Keywords
DEM, calibration, iron ore, failure
