| Autor: |
Aslam, Izzan Nur, Baramsyah, Haqul, Orcon, Nestor, Klein, Bern, Sedik, Samuel Paulus, Alam, Pocut Nurul |
| Zdroj: |
AIP Conference Proceedings; 2024, Vol. 3082 Issue 1, p1-14, 14p |
| Abstrakt: |
Sensor-based sorting has been widely applied in the mineral industry due to the benefits offered such as the provision of selective ore to be processed in mineral processing plants. However, not all types of ores can be treated using sensor-based sorting because there are many factors in determining whether the ore can be sorted or not, such as heterogeneity and sensor response, which are more important to be evaluated. This paper evaluates the sortability of low-grade copper ore and the sensor behavior, which in this case is X-Ray Fluorescence (XRF) and Electromagnetic (EM), based on heterogeneity and mass pull-grade-recovery correlation using the multivariable regression analysis. Laboratory work was conducted to understand the sensor behavior toward the heterogeneity of the ore using XRF and EM. They were used to scan the rocks as part of the particle sorting test and only XRF for the bulk sorting test. As a result, the XRF shows a better response toward the true recovery curves than EM sensors. In the case of EM, this sensor is not suitable to predict the grade as it is based on the magnitude and phase characteristics of the material. From the study, it was also found that liberation and particle size fraction play important role in producing a representative multivariable regression model which finally affects the mass pull, grade, and recovery. Both factors also determined the value Constituent or Distribution Heterogeneity. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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