Abstract

COLORADO-ARANGO, Laura et al. Grinding and classification efficiency evaluation in raw materials: cement plant study. Dyna rev.fac.nac.minas [online]. 2023, vol.90, n.229, pp.148-158.  Epub Apr 04, 2024. ISSN 0012-7353.  https://doi.org/10.15446/dyna.v90n229.110576.

The efficiency of the grinding and classification system in a closed circuit for a cement plant was evaluated in this study. The energy requirements determined by the Fred Bond model were compared with the energy consumption calculated on-site using the moving average model. The causes of the discrepancies between theoretical calculations and actual values were identified by considering particle classification through partition curves and the Fish-Hook effect. It was found that the energy requirements for grinding in the plant exceed the Bond model by 125.9-229.3% in terms of energy consumption, due to a significantly low classification efficiency caused by a high percentage of fine particles in the grinding underflow stream. This was observed in the classification curves through the bypass, sharpness index, and Fish-Hook effect. This information provides insights for taking measures to improve process efficiency.

Keywords : cement; bypass; Bond Work Index; grinding; moving average; Fish-Hook; raw materials.

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