1. Bench-scale insight into the amenability of case barren copper ores towards XRF-based bulk sorting.
- Author
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Li, Lixia, Li, Genzhuang, Li, Huaizhe, Li, Guoqing, Zhang, Ding, and Klein, Bern
- Subjects
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MINES & mineral resources , *X-ray fluorescence , *COPPER ores , *REGRESSION analysis , *ENERGY consumption - Abstract
XRF bulk sorting is put forward as a credible intender for pre-concentration methods in mining. This paper presents a preliminary study employing a bench-scale approach to calibrate XRF surface sensing to a target concentration of interest related to its volume so as to assess the feasibility of a case barren copper ore “slots” to bulk sorting. Firstly, various top sizes, along with different operators and specimens’ weight/volumes, were examined to quantify the minimum readings needed (MRN) for XRF spot scanning at this scale. Multiple linear regression with a correlation coefficient of 0.921 was validated to be a reliable algorithm for calibrating XRF surface response to Cu volumetric concentration, owing to its consideration of elemental interacts. With the aid of graphical representations of calibrated data on recovery/grade curves, cut-off grade of 0.23% was chosen to enable 30% mass below the threshold to be discarded as waste and the remainder to go for further processing. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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