Comparison of statistical versus stochastic models for Work Index determination in quartz-marble mixtures

• Autorzy: Perez Sebastián , Vargas Juan , Mellado Miguel , Quevedo Caro Ricardo , Jarufe Juan , Hurtado Cruz Juan Pablo , Muñoz Lagos Angélica Patricia , Jara Muñoz Pamela Paz

Identyfikatory

DOI

10.37190/msc212810

• Języki publikacji: EN

Abstrakty

EN

The required work for ore trituration is represented by the Bond Work Index value and is determined by the grindability test for ball mills. This article examines the grinding behavior of ore blends with different mechanical properties in standard ball mills. The goal of this research was to compare statistic and stochastic models of the Work Index value for mixtures of quartz and marble at different proportions of each material. Quartz and marble bearing rocks were selected for this study due to the high difference between the Work Index value of each material, making the variability of the results more evident. Work Index values obtained for each mixture are shown, from which a deterministic model was proposed defined by data regression. The novelty of this research lies in the non-linear model, which was the best fit for the Work Index value of the quartz-marble blends. Our methodology allows us to build more accurate models and can be used for quartz-marble blends and other materials.

Słowa kluczowe

EN

Work Index; Bond grindability; mineral mixture; Monte Carlo; stochastic model

• Wydawca: Wydział Geoinżynierii, Górnictwa i Geologii, Instytut Górnictwa Politechniki Wrocławskiej
• Czasopismo: Mining Science
• Rocznik: 2021
• Tom: Vol. 28
• Strony: 127--140
• Opis fizyczny: Bibliogr. 21 poz., rys., tab.

Twórcy

autor

Perez Sebastián

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Vargas Juan

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Mellado Miguel

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Quevedo Caro Ricardo

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Jarufe Juan

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Hurtado Cruz Juan Pablo

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Muñoz Lagos Angélica Patricia

• Mining Engineering Department, Universidad de Santiago de Chile

autor

Jara Muñoz Pamela Paz

• Mining Engineering Department, Universidad de Santiago de Chile

Bibliografia

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