Method for Dynamically Adjusting the Parameters of an Iron Ore Mill in a Chemical Analysis Laboratory

Autor(es): Lott, Gabriel; Guimarães, Frederico; Euzébio, Thiago
Resumo: (EN) The process of physically and chemically analyzing iron ore samples is crucial to identifying the type and quality of ore being mined, processed and shipped by mining companies. Guaranteeing the accuracy and precision of chemical analysis is of primary importance and a constant focus of the laboratory staff at the Caue mine in Brazil. The correct information is required to optimize the mining plant operation and to price the iron ore. However, the dynamic nature of the processing operation and non-uniform wear and tear on the equipment unexpectedly and undesirably increases the variability of the chemical analyses. Several parameters for the grinding and pressing machines in the plant’s automated laboratory can be adjusted for a better configuration and accurate results. Thus, knowing the importance and influence of each of these variables on the analysis results is necessary. The design of experiment (DoE) technique enables determining the factors (parameters) and levels (different values) that must be tested to statistically evaluate the relationship between the input (percentage of elements analyzed) and output variables (parameters of the equipment). Tests were performed with the same mill equipment and X-ray spectrometer to reduce the uncertainties of the experiment; these tests indicated an increase in the iron percentage and a decrease in the silica percentage with increasing mill rotation speed and pulverization time. Dynamically determining the behavior of the equipment and the best set of parameters of the equipment is the next challenge under study.
Periódico: International Congress on Automation in Mining ( Automining 2018)
Ano: 2018
Volume: 6
Páginas: p. 1-9
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