Effect of mineral feed characteristics on industrial flotation circuits performance by simulating mineralogical and operational changes P. Vallejos, J.Yianatos, R.Grau, and A.Yañez

- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 10
- File Size:
- 221 KB
- Publication Date:
- Jan 1, 2020
Abstract
This paper presents an evaluation of the effect that the mineral feed characteristics have on the
metallurgical performance in an industrial flotation circuit. Variables such as mineralogy, particle size,
solid content and mineral grade were evaluated using a flotation simulator, which was previously
developed and validated using industrial data from different concentrators. The metallurgical
performance was evaluated not only from the point of view of recovery and concentrate grade, but also
by analysing less common variables such as froth carrying rate, froth and collection recovery, water
recovery and others. Then, new data from the industrial flotation circuit was used to complement this
analysis and evaluate the simulator predictability by comparing simulated and measured data.
The results allowed for the quantification of the significant effect that mineralogy and particle
size have on recovery and/or concentrate grade. Therefore, the grinding stage and flotation cells design
become important factors to avoid a significant loss in metallurgical performance when feed mineral
characteristics change in an industrial operation. In this context, an evaluation of cells design and
arrangement should be performed to compensate the loss in recovery and concentrate grade in order to
find an optimal operating condition.
Keywords: Flotation circuits, mineral feed, modelling, particle size, liberation, mineralogy
Citation
APA:
(2020) Effect of mineral feed characteristics on industrial flotation circuits performance by simulating mineralogical and operational changes P. Vallejos, J.Yianatos, R.Grau, and A.YañezMLA: Effect of mineral feed characteristics on industrial flotation circuits performance by simulating mineralogical and operational changes P. Vallejos, J.Yianatos, R.Grau, and A.Yañez. The Southern African Institute of Mining and Metallurgy, 2020.