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    Öğe
    Estimation of kinetic model parameters in ball mill using MODSIM© simulator
    (OFICYNA WYDAWNICZA POLITECHNIKI WROCLAWSKIEJ, 2025) Umucu, Y; Deniz, V; Gürsoy, YH
    Using a phenomenological grinding kinetic theory based on the pace of the process as described by the selection function (Si) and breakage distribution function (Bi,j), the estimated grinding performance of a mill can be approximated. This method is now widely accepted and has been thoroughly explored by renowned scholars such as L.G. Austin. Despite wide acceptance of this method, insufficient studies were conducted on the kinetic model for fine sieve sizes. Since there is no extensive investigation on the fluctuation of model parameters over various sieve size groups, this paper presents one. Simulation models for the design of ball mills are included in the software for the digital layout of mineral processing circuits. The MODSIM (c) simulator calculates nearly complete mass balances for each mineral processing plant and simulates integrated flow diagrams including grinding. The Si and Bi,j equations were derived using the particle size distributions at varied grinding times and with model parameters for coarse and fine particle size groups. Experimentally derived data were to the MODSIM (c) simulator data model
  • [ X ]
    Öğe
    Investigation of ball mill optimization based on kinetic model and separator separation particle size
    (OFICYNA WYDAWNICZA POLITECHNIKI WROCLAWSKIEJ, 2025) Umucu, Y; Ünal, N; Deniz, V; Gürsoy, YH; Şendir, H
    A key attribute of an industrial ball mill is its output capacity, quantified in tons per hour. The production capacity depends on the size of the mill, whether it is an overflow or grate discharge type, how fast it spins, how much material is loaded, the size of the final product compared to the starting material, the material's work index, the power of the mill shaft, and the specific gravity of the material. The details are carefully examined, and a practical relationship is suggested, showing how the mill's capacity depends on the mill shaft power and the energy used in grinding. The mining industry aims to enhance energy efficiency in fine-size releases. In this setting, the significance of research on dry ball mills is progressively escalating. Furthermore, with grinding diameters under 45 microns, mill efficiency significantly diminishes, leading to a considerable increase in energy consumption that renders grinding economically impractical. Therefore, it is essential to execute efficient optimizations. In the study, researchers looked at how fast particles break by measuring their sizes from samples collected every meter during mill shutdowns to improve the process. The research presented a novel methodology for optimization investigations. Furthermore, the particle sizes of the separator overflow were compared to pre-and post-optimization, with the optimization assessed in an alternative dimension. Consequently, it was determined that optimization efficiency could be assessed using the kinetic model technique during the experiments.