1. Pseudo-dynamic simulations applied to ball mill grinding circuit using population balance model and Monte Carlo Method.
- Author
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de Abreu Valadares, Jose Guilherme, Batista Mazzinghy, Douglas, and Galéry, Roberto
- Subjects
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SIMULATION methods & models , *ELECTRIC circuits , *STOCHASTIC processes , *OPERATING costs , *STOCHASTIC models , *MONTE Carlo method , *BALL mills , *MODEL validation - Abstract
Process simulations can be used to improve grinding circuit performance, which efficiently reduces operating costs. The population balance model (PBM) is widely accepted for grinding modeling because it can reproduce breakage events in tumbling mills, as described by Austin et al. (1984). In this study, a pseudodynamic model is introduced, integrating the PBM with the Monte Carlo Method to stochastically simulate variables in an industrial grinding circuit. This integrated approach enabled circuit simulations over a period of 2 hours, representing the operational variables as seen in historical data. Model validation showed a correlation of 0.74 in the product size distribution when comparing simulated outcomes with the original population. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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