ARTÍCULO
Prediction of a piston–die press product using batch population balance model
G. Rosales?Marín J. A. Delgadillo E. T. Tuzcu C. A. Pérez?Alonso
Prediction of a piston–die press product using batch population balance model
Asia-Pacific Journal of Chemical Engineering
2016 | journal-article
DOI: 10.1002/apj.2044EID: 2-s2.0-84988892093, 2016.
ABSTRACT:
It is known that between 40 and 70% of the energy consumed in a mineral processing complex is used for size reduction. Hence, the size reduction modeling is an important task that has been undertaken for decades to improve efficiencies and aid in decreasing operating costs. In this study, piston–die experiment size distribution was modeled by using a novel method: combination of throughput model and specific power consumption model, together with the population balance modeling. The copper ore samples were compressed up to 0.9166?kWh/t (600?kN compressing force), under universal tension machine. Coarse (?19?+?6.3?mm), medium (?4.75?+?0.6?mm), and fine (+0.425–0.038?mm) particle size distributions were tested in an iron piston–die press. The diameter used for the experimental setup was 0.125?m, and the height was 0.075?m. Different specific energies—0.0046 to 0.9166?kWh/t—were utilized. Experimental data for remaining subsets were used for validation of simulation results obtained by the model. It is concluded that the combination of throughput model and specific power consumption model, together with the population balance model, successfully predicted the piston–die experimental size distributions.