Optimization of the Optical Methods of Ore Grade Analysis at Mineral Processing - Juniper publishers
Journal of Insights in Mining Science & Technology
Keywords: Grade analysis; Ore; Image
recognition; Mineralogical composition; Erdenet processing plant; Ore scanning;
Grinding; Optical analyzer; Copper; Molybdenum
Introduction
In-stream ore grade
analysis is a new trend in effective control of ore benefication processes.
On-line estimation of ore grade can be implemented based on continuous
measurement of the mineralogical composition directly in-stream or using
in-stream sampling with the following analysis. Reliable separate determination
of minerals in ore is possible using modern formats of colour image
recognition. The spectral characteristics of minerals in visible light are the
source of information for optical spectrum-based estimation of ore
mineralogical composition (Figure 1). The task of determining the grade of ore,
entering processing, is to determine its similarity to the main technological
types of ores [1]. The calculation of ore grade was carried out using a
multi-criteria method for affiliation shares calculations. The system
mathematical model provides for calculation of the incoming ore affiliation by
six (or more) significant parameters (minerals contents in the ore). At the
Erdenet processing plant (Mongolia), a new facility for advanced ore
diagnostics, based on optical analyzer of mineral composition, was tested. The
optical spectrum-based analysis system was installed above the conveyor
(Figure 2) for feeding ore to the grinding operation [2]. The ore scanning on
the conveyor belt is carried out continuously. Then, using the algorithm,
recognition of the ore grade is carried out. For exact analysis, the special
flatbed facility was developed [3]. The measurement technique involves
preparing the ore sample, forming the measurement area in the form of a flat
portion of the sample, illumination and capture of the images in the visible
spectrum (Figure 3).
To calculate the required parameters of grinding and flotation,
special studies were carried out on the most pronounced samples of the typical
ores, and the process diagrams for their grind ing and flotation were
developed. The value of the pre-set function SF for each parameter of the
process was calculated as a weighted average of the parameters values for each
“typical” ore type (SFi) considering the contribution of the given type in the
ore’s mixture using Equation (1):
(1) SF SFii γ = Σ
where γi - relative
weight fraction of an ore type in the ore mixture incoming to processing. The
predefined functions were used as baseline in the local systems of automatic
control of grinding and flotation processes at the Erdenet processing plant.
Using the procedure for ore grade determination increases the automatic control
stability, as it allows a fast response to changes in the incoming ore grade.
Maintaining the optimum degree of grinding and reagent consumption in the
flotation provides increasing recovery of copper and molybdenum into concentrates
by 0.3% and 1.1%, respectively, as well as decreasing the consumption of
reagents by 2–3% [4].
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