The Use Of Computational Fluid Dynamics And Discrete Element Modeling To Understand The Effect Of Cell Size And Inflow Rate On Flotation Bank Retention Time Distribution And Mechanism Performance.

The Southern African Institute of Mining and Metallurgy
Jens Lichter Alexander V. Potapov Richard Peaker
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
23
File Size:
2495 KB
Publication Date:
Jan 1, 2007

Abstract

The recent combination of Computational Fluid Dynamics (CFD) and Discrete Element Modeling (DEM) can provide considerable insight into the performance of flotation cells. One area of interest from a fundamental equipment design perspective has been the influence of flotation cell size and the inflow rate on the metallurgical performance of the cell. One of the specific design objectives when increasing the size of flotation cells, or increasing the feed flow to the flotation cell, is to ensure that the feed stream flowing into the cell does not have an opportunity to bypass the mechanism. This paper describes the initial modeling efforts to quantify the inter-relationship of cell size, inflow rates, and feed and discharge box placement, on the retention time distribution of solids in the flotation cell, and the fraction of particles that bypass the mechanism on a size by size basis.
Citation

APA: Jens Lichter Alexander V. Potapov Richard Peaker  (2007)  The Use Of Computational Fluid Dynamics And Discrete Element Modeling To Understand The Effect Of Cell Size And Inflow Rate On Flotation Bank Retention Time Distribution And Mechanism Performance.

MLA: Jens Lichter Alexander V. Potapov Richard Peaker The Use Of Computational Fluid Dynamics And Discrete Element Modeling To Understand The Effect Of Cell Size And Inflow Rate On Flotation Bank Retention Time Distribution And Mechanism Performance.. The Southern African Institute of Mining and Metallurgy, 2007.

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