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Modeling and control of Ag mill energy consumption based on ore hardness distribution in a large-scale iron ore plant | ||
| International Journal of Mining and Geo-Engineering | ||
| مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 13 اردیبهشت 1405 | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijmge.2026.397207.595273 | ||
| نویسندگان | ||
| Milad Sfaram Jooneghani1؛ Seyed Mohammad Razavian* 1؛ Mojtaba Ghorbannejad2 | ||
| 1Department of Mining Engineering, Faculty of Engineering, University of Kashan, Kashan- Iran. | ||
| 2Gohare- farzanegan Pelletizing Project Management, Kerman | ||
| چکیده | ||
| The performance of autogenous (AG) grinding circuits is highly sensitive to variations in ore hardness, particularly in dry processing operations with limited buffering capacity. This study investigates the influence of ore hardness variability on the operational behavior of the AG mill in Line 3 of the Gole-Gohar Iron Ore Concentration Plant. A total of 82 feed samples were collected and analyzed using the SAG Power Index (SPI) test to quantify ore hardness. The SPI results ranged from 48 to 236 min, revealing substantial heterogeneity in the run-of-mine feed. Correlation analyses demonstrated that increasing ore hardness results in reduced mill feed rate and increased specific energy consumption, primarily due to extended residence time and lower breakage efficiency. A linear regression model was developed to predict the mill’s specific energy demand as a function of SPI, providing a practical tool for energy forecasting and operational optimization. Furthermore, hardness-based ore classification and blending strategies were designed to mitigate the adverse impact of hard feed on mill performance. These homogenization approaches, supported by block model data and SPI testing, offer a cost-effective means to enhance process stability and energy efficiency. Overall, the findings underscore the importance of incorporating quantitative hardness characterization into comminution circuit design, control systems, and mine-to-mill planning frameworks. | ||
| کلیدواژهها | ||
| AG Mill؛ Modeling؛ SPI Test؛ Gole-gohar | ||
| مراجع | ||
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[18] Sfaram Jooneghani, M., Razavian, S. M., Ghorbannejad, M., (2022), Investigation of the Effect of Various Parameters on the Ore Hardness of Gole-Gohar’s No. 1 Mine, Journal of Mineral Resources Engineering, 7(3): 139-153. | ||
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