Investigation of ball mill optimization based on kinetic model and separator separation particle size
 
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1
Eskişehir Osmangazi University, Department of Mining Engineering, Türkiye
 
2
Traçim Cement Factory, Kırklareli, Türkiye
 
3
Hitit University, Department of Polymer Materials Engineering, Türkiye
 
4
Eskişehir Osmangazi University, Department of Geological Engineering, Türkiye
 
 
Publication date: 2025-05-22
 
 
Corresponding author
Yakup Umucu   

Eskişehir Osmangazi University, Department of Mining Engineering, Türkiye
 
 
Physicochem. Probl. Miner. Process. 2025;61(3):205473
 
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ABSTRACT
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.
18th International Mineral Processing Symposium (IMPS 2024)
eISSN:2084-4735
ISSN:1643-1049
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