Modeling, Design and Optimization of Multiphase Systems in Minerals Processing, Volume II
A special issue of Minerals (ISSN 2075-163X). This special issue belongs to the section "Mineral Processing and Extractive Metallurgy".
Deadline for manuscript submissions: closed (19 November 2021) | Viewed by 28682
Special Issue Editors
Interests: modeling; design; optimization; uncertainty; flotation; heap leaching; tailing; seawater
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; evolutionary computation; deep learning; machine vision; modeling and simulation; uncertainty quantification
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
After hundreds of years of the exploitation of mining resources, the demand for these resources has continued to increase. The demand will be maintained and increase in the future to face the significant challenges of engineering and society. To meet these challenges, tools are needed to help understand, improve, and facilitate more effective solutions. The use of modeling at all levels and types is undoubtedly one of those tools. A common feature in the processing of mining resources is the presence of multiphase systems, which are defined as systems in which two or more different phases (i.e., gas, liquid, or solid) are present. A series of phenomena associated with processes such as flotation, grinding, magnetic separation, and thickening are related to multiphase systems. With these antecedents, we have developed this Special Issue dedicated to the modeling, design, and optimization of multiphase systems in mineral processing to promote discussion, analysis, and cooperation between research groups. The Special Issue welcomes review articles, regular articles, and short notes that cover different methodologies for modeling, design, optimization, and analysis in problems of adsorption, leaching, flotation, and magnetic separation, among others. Tools for the study of multiphase systems at different time and size scales are also welcome such as molecular modeling, computational fluid dynamics, response surface methodology, artificial intelligence, multiscale modeling, uncertainty and global sensitivity analyses, and optimization.
Keywords
- molecular modeling
- intelligent computation
- computational fluid dynamics
- response surface methodology
- optimization
- design
- solid–liquid systems
- liquid–liquid systems
- solid–gas systems
- solid–liquid–gas systems
- uncertainty