Publicado
Evaluación de la eficiencia de molienda y clasificación de materias primas: caso de estudio de una planta cementera
Grinding and classification efficiency evaluation in raw materials: cement plant study
DOI:
https://doi.org/10.15446/dyna.v90n229.110576Palabras clave:
cemento; cortocircuito; índice de trabajo de Bond; molienda; media móvil; Fish-Hook; materias primas (es)cement; bypass; Bond Work Index; grinding; moving average; Fish-Hook; raw materials (en)
En este estudio se evaluó la eficiencia del sistema de molienda y clasificación en un circuito cerrado para una planta cementera. Se compararon los requerimientos energéticos determinados mediante el modelo de Bond con el consumo de energía calculado en planta utilizando el modelo de media móvil. Se identificaron las causas de las diferencias entre los cálculos teóricos y los valores reales considerando la clasificación de partículas mediante curvas de partición y el efecto Fish-Hook. Se encontró que los requerimientos energéticos de molienda en planta superan el modelo de Bond entre un 125.9-229.3% en términos de consumo de energía, debido a una eficiencia de clasificación bastante baja causada por el alto porcentaje de partículas finas en la corriente de rechazo. Lo anterior se evidenció en las curvas de clasificación a través del cortocircuito, el índice de claridad y el efecto Fish-Hook. Esto proporciona información para tomar medidas y mejorar la eficiencia del proceso.
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.
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1. V. S. Prokopenko, V. V. Strokova, T. N. Orekhova. (2025). Modeling of the process of the cement separation in the closed aerodynamic unit. Construction Materials, (7), p.44. https://doi.org/10.31659/0585-430X-2025-837-7-44-49.
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