Käyhkö, T., Sinche-Gonzalez, M., Liipo, J., Khizanishvili, S., The validation of predictive geometallurgical models in concentrator process design, Proceedings of the XXX International Mineral Processing Congress. October 18-22-2020, Cape Town, South Africa, 978-1-928410-21-8, p. 27-36
The validation of predictive geometallurgical models in concentrator process design
|Author:||Käyhkö, T.1; Sinche-Gonzalez, M.2; Liipo, J.1;|
2Oulu Mining School/University of Oulu, Oulu, Finland
3JSC RMG Copper, Georgia
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2021052030749
International Mineral Processing Congress,
|Publish Date:|| 2021-05-20
The use of geometallurgical modelling is becoming more common in concentrator plant design and during the operational phase. Predictive modelling aims to define optimised process parameters for the concentrator plant to accommodate variability within the ore feed. The main objective of this study is to show how the metallurgical response of different types of ore blends can be simulated using kinetic models derived from experimental flotation tests with different geometallurgical end-member ore types and their blends. For these validation tests, four different end-member ore types containing different ratios of chalcopyrite, chalcocite and oxidised copper minerals from Rich Metal Group’s Madneuli copper-gold mine, Georgia, were tested. Kinetic flotation tests, including both rougher and cleaner flotation tests, were carried out. The simulations were performed using HSC Chemistry software based on mineral compositions of the ores and kinetic models using rectangular distribution equations and flowsheet model. Simulated and experimental results of copper grade, copper recovery and concentrate mass pull correlated well with R2 values of >0.95. Based on these results, the metallurgical response of different ore blends can be simulated based on the flotation kinetics of end-member ore types. The use of this kind of simulation will create savings during the test work phase and increase the flexibility and predictability in the processing stage.
|Pages:||27 - 36|
Proceedings of the XXX International Mineral Processing Congress. October 18-22-2020, Cape Town, South Africa
IMPC, International Mineral Processing Congress
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
222 Other engineering and technologies
The authors would like to thank the Mineral Processing laboratory team in Outotec Research center in Pori for giving support for experimental flotation tests. Additionally, I want to thank Rich Metals Group (JSC RMG Copper, Georgia) collaboration and ore samples used in the experimental part of the study.
© The Authors 2021. Published here with the kind permission of the authors. The Definitive Version of Record can be found on the IMPC website (https://impc-council.com/congress-proceedings/impc-congress-proceedings/).