POTENCIAL AND IMPACT OF SENSOR BASED SORTING ON THE GRINDING CIRCUIT PERFORMANCE FOR A POLYMETALLIC ORE
Priscila M. Esteves1*, Lucas Monteiro Correa e Lopes2, Pablo dos Santos Pina2, Wellington Gomes3, Thiago Jatobá3
¹ Steinert Latinoamericana, Pedro Leopoldo, Brazil
²Nexa Resources, Aripuanã, Brazil
³MinPro, São Paulo, Brazil
*This paper was presented at MEi Communution 23 Conference held 17-20 April 2023 in Cape Town, South Africa. To view the full paper, click here or select download file below. A copy of the presentation can be downloaded via this link.
HIGHLIGHTS
- Integrated assessment of preconcentration effects on grinding circuit
- Improved energy and water usage by coarse gangue rejection with SBS
- Reduction on tailings generation by preconcentration with SBS
ABSTRACT
A comprehensive study was carried out for a polymetallic ore, with the aim of generating a better understanding about how preconcentration impacts the grinding circuit of the Aripuanã Project, located in Brazil. Sensor-based sorting (SBS) test work was performed according to the step methodology and the generated samples were assayed and submitted to Drop Weight Test (DWT) and Bond Work Index (BWi). The results indicate representative differences on elemental composition, breakage behavior and P80. A 50% mass rejection was achieved at 98% recoveries for Zn and Pb and the measured BWi and Axb indicate that high grade material tends to be representatively softer than gangue. Finally, process simulation with the JKSimMet was used to quantify how SAG and Ball mill throughput and energy consumption can be affected by the addition of a preconcentration stage.
KEYWORDS: Sensor-based-sorting, Pre-concentration, Test work, Bond Work Index, Drop Weight Test, Energy efficiency.