Recent Advances in Computational Fluid Dynamics Simulation of Flotation
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Processing and Extractive Metallurgy".
Deadline for manuscript submissions: 21 February 2025 | Viewed by 395
Special Issue Editors
Interests: CFD modeling; flotation; hydrodynamics; multiphase interaction; bubble dynamics
Interests: multiphase flows; CFD; interfacial science; mineral processing; flotation hydrodynamics
Interests: CFD; fine particle flotation; flotation modeling; froth flotation separation; multiphase interaction
Special Issue Information
Dear Colleagues,
Froth flotation is widely utilized in mineral processing for the selective separation of valuable ore particles based on differences in surface hydrophobicity. Computational Fluid Dynamics (CFD) is a powerful tool in assisting the operational and structural optimization of opaque flotation cells or columns. This is achieved through modeling the hydrodynamics of slurry and bubble phases. In recent years, the application of CFD in flotation has become more important as novel bubble generation techniques and flotation equipment are being developed to tackle the flotation of ultrafine or coarse particles which are outside of the optimal size range of conventional flotation cells. Research on bubble–particle multiphase interactions such as collision, attachment, detachment, and particle entrainment using CFD methods has also advanced. CFD coupled with the Discrete Element Method (DEM) or deep machine learning has been used to predict the recovery of desirable minerals. This Special Issue aims to present the latest, cutting-edge advances in relation to single- and multiphase interaction and flotation process modeling in CFD-based frameworks.
This Special Issue invites submissions that include original scientific research relating to the application of Computational Fluid Dynamics to better understand flotation on both elementary and equipment levels. This Special Issue focuses on the following topics: (1) bubble dynamics, froth dynamics, and bubble–particle interactions; (2) flotation cell/column hydrodynamics, kinetics, and recovery modeling; (3) flotation machine development and optimization; (4) the application of artificial intelligence/machine learning in CFD simulations.
Dr. Ai Wang
Dr. Subhasish Mitra
Prof. Dr. Xiaokang Yan
Dr. Chao Li
Guest Editors
Manuscript Submission Information
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Keywords
- CFD in flotation
- bubble and froth dynamics
- particle dynamics
- multiphase interaction
- cell/column hydrodynamics
- flotation recovery modeling
- equipment optimization
- artificial intelligence
- machine learning
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