Flotation Process Optimization Based on Mineralogical Analysis

- Organization:
- International Mineral Processing Congress
- Pages:
- 9
- File Size:
- 638 KB
- Publication Date:
- Jan 1, 2018
Abstract
"This paper introduces the mineralogical analysis of certain polymetallic copper-zinc ore in China with the aim of improving the flotation process. The main valuable elements, mineral phases and compositions of run-of-mine ore were inspected by the X-ray Fluorescence (XRF) and chemical analysis. For a deep known of the old process defects, Mineral Liberation Analysis system (MLAs) was employed to investigate the minerals liberation degree of selected key slurry points. Analysis results show that the run-of-mine ore belongs to the original copper-zinc polymetallic symbiotic ore at low oxidative level, which mainly contains 0.16% Cu, 4.43% Zn and 0.88% Sn. Gangue minerals are mainly silicate minerals, and zinc mineral is sphalerite. MLAs test illustrates that about 86% sphalerite has been dissociated in zinc flotation feed. In the current flotation process, over grinding of sphalerite monomer and insufficient liberation of intergrowths are the key problems need to be solved imminently. Up to this point, a new process consisted of two steps roughing unit is submitted in this research. It contributes two positive effects on zinc flotation performance: (i) separating sphalerite monomer timely to decrease overgrinding; (ii) improving zinc minerals intergrowths liberation efficiency. Flotation results indicate that the zinc concentrate grade increased 0.90% and the recovery improved 0.96% in the new flotation processINTRODUCTION Mineralogical analysis mainly focusses on solving mineralogy problems in minerals processing, assisting in minerals behaviors prediction and control for separation engineering (Falkovich, et al., 2001; Hillier, et al., 2003; Schouwstra and Smit, 2011). Process defects searching becomes its ordinary work, and flotation optimization appears to be its targets gradually. For example, Lucky Friday mine company (Idaho America) fails to obtain qualified lead concentrate as the change of ore properties (Nadoll, et al., 2011). Mineralogical analysis ascertains that there are too many dissociated sphalerite, pyrite and gangue particles exist in lead concentrate. According to this, more cleaning units are added to solve problems effectively. Kanowna Belle mine (Australia) takes a flash circuit in operation successfully with the aim of optimize flotation process, under the helps of mineralogical analysis and industrial test (Newcombe, et al., 2013). Lotter N.O. (2011) gives a deep description on how mineralogical data assisting mineral processing engineers to design and optimize flowsheet. For decades, quantitative and automated mineralogy techniques (Andersen, et al., 2009; Gu, et al., 2012; Oghazi, et al., 2009; Yu, et al., 2007) get well developed and hugely improve the veracity and repeatability of minerals properties measurement. Among these, MLAs (Gu, 2003) provided by JKMRC (Julius Kruttschnitt Mineral Research Center) is critically acclaimed all over the world. This analysis system can measure mineral phases composition and content, particles size, minerals occurrence and liberation degree directly."
Citation
APA:
(2018) Flotation Process Optimization Based on Mineralogical AnalysisMLA: Flotation Process Optimization Based on Mineralogical Analysis. International Mineral Processing Congress, 2018.