SmartFloat™: Bringing Artificial Intelligence to the Flotation Reagent World

The Southern African Institute of Mining and Metallurgy
T. Bhambhani J. P. Garnier J. A. Garcia N. Renaud
Organization:
The Southern African Institute of Mining and Metallurgy
Pages:
6
File Size:
561 KB
Publication Date:
Jan 1, 2023

Abstract

Most flotation plants use a static reagent scheme, i.e., a set combination of collectors, frothers, and modifiers. This scheme is usually developed and refined over time to deliver optimal (not necessarily the highest) performance when the major ore types are fed to the plant. However, when ore types or mineralogy coming to the plant change substantially (and this often happens as different areas of the pit(s) are mined and crushed at the same time), there are upsets in the process, typically leading to lower recoveries. Adapting to this variability is usually done only when performance drastically suffers, and the changes made may be too late and bring additional variability in performance. The premise for SmartFloat™ is that the reagent suite needs to be dynamic, adapting continuously to changes in the ore and operating conditions. Solvay has combined advanced analytics and data science techniques with its expertise in flotation reagent chemistry to systematically and automatically achieve the above, and in real time. Thus, SmartFloat™ is optimizing the reagent suite continuously, removing the additional variability created by belated human interactions resulting in a better and more stable process. In addition, this advanced approach allows for continuous improvement by identifying poor performing ore domains and improving the reagent suite using Solvay’s FM-100 approach to design appropriate solutions.
Citation

APA: T. Bhambhani J. P. Garnier J. A. Garcia N. Renaud  (2023)  SmartFloat™: Bringing Artificial Intelligence to the Flotation Reagent World

MLA: T. Bhambhani J. P. Garnier J. A. Garcia N. Renaud SmartFloat™: Bringing Artificial Intelligence to the Flotation Reagent World . The Southern African Institute of Mining and Metallurgy, 2023.

Export
Purchase this Article for $25.00

Create a Guest account to purchase this file
- or -
Log in to your existing Guest account