Gravity Circuit Optimisation Via Mathematical Modelling By Particle Size Classes

- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 10
- File Size:
- 3644 KB
- Publication Date:
- Jan 1, 2006
Abstract
Many factors affect the overall performance of a gravity circuit beyond that of the primary gravity recovery device. It is critical to examine the gravity circuit in its entirety in order to determine the dominant operating variables that affect overall performance. Knelson has developed a mathematical model which has been used to assist in the design of gravity circuits, and in particular, in making accurate predictions of plant scale gravity recovery. More recently, inclusion of recovery by particle size class and additional data from various mine sites and research studies has made the model more robust. The model is now able to predict GRG (gravity-recoverable-gold) recoveries using various devices such as centrifugal concentrators, shaking tables, jigs and flash-flotation within the grinding circuit. The benefits derived by these recent advancements in modeling capability are two-fold; the first is as a tool to assist in circuit design and correct equipment selection and the second is as an analytical tool to help to evaluate and enhance the performance of existing gravity circuits.
Citation
APA:
(2006) Gravity Circuit Optimisation Via Mathematical Modelling By Particle Size ClassesMLA: Gravity Circuit Optimisation Via Mathematical Modelling By Particle Size Classes. The Southern African Institute of Mining and Metallurgy, 2006.