Abstract
Removal of quartz from iron ore was accomplished industrially via an anionic reverse flotation technique. However, in that kind of flotation, the interaction of the flotation reagents with the components of the feed sample makes the flotation a complicated system. Thus, the selection and optimization of regent dosages at various temperatures were performed using a uniform experimental design to estimate the optimum separation efficiency. Besides, the produced data as well as the reagent system were mathematically modeled at different flotation temperatures, and the graphical user interface GUI of MATLAB was conducted. The advantage of this procedure is that the user interface displayed in real-time can be conducted by adjusting the temperature at different values to automatically control the reagent system, besides predicting the concentrate yield, total iron grade, and total iron recovery.
Recommended Citation
Y. Hou and A. Sobhy, "Modeling and Simulation of Flotation Reagents System in Anionic Reverse Iron Oxide Flotation at Different Temperatures," Scientific Reports, vol. 13, no. 1, article no. 8117, Nature Research, Dec 2023.
The definitive version is available at https://doi.org/10.1038/s41598-023-35187-4
Department(s)
Mining Engineering
Publication Status
Open Access
International Standard Serial Number (ISSN)
2045-2322
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2024 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Dec 2023
PubMed ID
37208403