HSIC modeling of P80 for an industrial-scale ball mill circuit, P. Semsari Parapari, S. Liaghat, A. Tohry, J. Rosenkranz, and S. Chehreh Chelgani

- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 10
- File Size:
- 1068 KB
- Publication Date:
- Jan 1, 2020
Abstract
It is commonly accepted that the energy consumption for comminution within mineral processing
is responsible for around 3% of the global electrical energy usage. However, it was clearly noted that
inside mills, less than 1% of this energy efficiency is actually consumed for particle size reduction.
Therefore, monitoring of grinding parameters and modelling of product particle size distribution (e.g.
characterised by the 80% passing size P80) play an essential role in operating costs of a mineral
processing plant. Several empirical models have been introduced for the prediction of the P80. Since in
the industrial scale usually a few numbers of grinding variables are monitored, these models cannot
identically be used in plants. In addition, these empirical models do not always indicate the magnitude
of correlations between milling variables. This study proposes to introduce the Hilbert-Schmidt
independence criterion (HSIC) as an intelligent model for exploring linear and nonlinear relationships
between grinding variables and P80 for an industrial scale data assessment. HSIC can rank variables
based on their importance and help to select the most effective one for the generation of predictive
models. HSIC modelling through various monitored grinding variables (ball charge, feed input rate, F80,
power draw and work index) of an industrial plant indicated that F80 as a feed property has the highest
effect on P80 of the ball mill products. Modelling results highlighted that the P80 can be accurately
predicted, based on effective variables by using a HSIC model. These outcomes showed that HSIC as a
powerful modelling tool can assess the relationships between monitored grinding parameters, select the
most effective grinding parameters and satisfactorily predict the P80.
Keywords: Product particle size, variable importance measurement, Hilbert-Schmidt independence
criterion, mill charge
Citation
APA:
(2020) HSIC modeling of P80 for an industrial-scale ball mill circuit, P. Semsari Parapari, S. Liaghat, A. Tohry, J. Rosenkranz, and S. Chehreh ChelganiMLA: HSIC modeling of P80 for an industrial-scale ball mill circuit, P. Semsari Parapari, S. Liaghat, A. Tohry, J. Rosenkranz, and S. Chehreh Chelgani. The Southern African Institute of Mining and Metallurgy, 2020.