| Annotation |
Decreasing ore grades is a common challenge for every gold mining country in the world. Deposits of low-grade and complex ores are increasingly brought into production. These ores are typically treated by hydrometallurgical methods, for example, heap leaching. Meanwhile, the use of cyanide and its alternatives poses a risk for the environment. Thus, the development of gravity methods including jigging in a centrifugal-field is becoming an attractive option of low-grade and complex ore processing.
Two mathematical models have been developed using the regression method to predict grade and recovery characteristics of the products of a centrifugal jigging machine (CJM) with variable process parameters including jig chamber rotational speed, pulsation frequency and vibration amplitude of a movable cone, underscreen-water flow rate. The models are based on the results of the field trials of a pilot centrifugal jigging machine designed by JSC Irgiredmet at existing gold-processing plants.
Mathematical modelling provided a means of the process parameters ranking according to their impact on the separation process. A model has been identified that ensures a more accurate prediction of the separation process variables (metal recovery in concentrate) when the CJM’s adjustable parameters are changed.
The object of the study is the centrifugal jigging method of gold-bearing ore separation.
The scope of the study is mathematical modelling of gold-bearing ore separation using CJM.
The objective of the study is the determination and ranking of the CJM’s process parameters according to their impact on the separation process, identification of a model that ensures a more accurate prediction of the separation process variables.
The methodology of the study involves finding the correlation between gold grade/gold recovery into the separation products and the CJM’s adjustable parameters.
The method of the study is regression analysis
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| Article information |
Luchko М., Fedotov Р., Lukyanov N. Development and comparison of the regression models of Gold-bearing material separation using a centrifugal jigging machine // Transbaikal State University Journal, 2022, vol. 28, no. 1, pp. 31-39. DOI: 10.21209/2227-9245-2022-28-1-31-39. |
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