Modeling, Design and Optimization of Multiphase Systems in Minerals Processing

Mineral processing deals with complex particle systems with two-, three- and more phases. The modeling and understanding of these systems are a challenge for research groups and a need for the industrial sector. This Special Issue aims to present new advances, methodologies, applications, and case s...

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Main Author: Cisternas, Luis A. (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:Get Fullteks
DOAB: description of the publication
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020 |a books978-3-03928-401-6 
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041 0 |a English 
042 |a dc 
100 1 |a Cisternas, Luis A.  |4 auth 
245 1 0 |a Modeling, Design and Optimization of Multiphase Systems in Minerals Processing 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2020 
300 |a 1 electronic resource (232 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Mineral processing deals with complex particle systems with two-, three- and more phases. The modeling and understanding of these systems are a challenge for research groups and a need for the industrial sector. This Special Issue aims to present new advances, methodologies, applications, and case studies of computer-aided analysis applied to multiphase systems in mineral processing. This includes aspects such as modeling, design, operation, optimization, uncertainty analysis, among other topics. The special issue contains a review article and eleven articles that cover different methodologies of modeling, design, optimization, and analysis in problems of adsorption, leaching, flotation, and magnetic separation, among others. Consequently, the topics covered are of interest to readers from academia and industry. 
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546 |a English 
653 |a hydrothermal reaction 
653 |a n/a 
653 |a froth flotation 
653 |a modes of operation 
653 |a hydrocyclone 
653 |a computational fluid dynamic 
653 |a K-feldspar 
653 |a discrete event simulation 
653 |a endoscopic laser PIV 
653 |a magnetic separation 
653 |a adsorption 
653 |a silver leaching 
653 |a mining residues 
653 |a hydroxylation 
653 |a phase analysis 
653 |a multispecies 
653 |a turbulence models 
653 |a cyclonic flow field 
653 |a Boycott effect 
653 |a heap leaching 
653 |a flotation column 
653 |a artificial neural networks 
653 |a tailings 
653 |a lead chemistry 
653 |a thiosulfate 
653 |a flotation 
653 |a local regression 
653 |a CFD 
653 |a grinding 
653 |a fluorapatite 
653 |a settling velocity 
653 |a response surface methodology 
653 |a cassiterite 
653 |a thickening 
653 |a discrete element simulation 
653 |a DFT calculation 
653 |a flotation circuits 
653 |a recovery arrangement 
653 |a design 
653 |a smoothed particle hydrodynamics 
653 |a MLA (Mineral Liberation Analyzer) 
653 |a circuit configuration 
653 |a Pb(II)-BHA 
653 |a SEM-based image analysis 
653 |a uncertainty analysis 
653 |a partition curve 
653 |a tobermorite 
653 |a kinetic analysis 
653 |a water recovery 
653 |a process design 
653 |a metal-organic collectors 
653 |a natural convection 
653 |a quartz 
653 |a molecular dynamics 
653 |a machine learning 
653 |a flotation mechanism 
653 |a surface activation 
653 |a frontier molecular orbital 
653 |a support vector machine 
653 |a process optimization process 
653 |a hydrogarnet 
653 |a density functional theory 
653 |a Tabu-search algorithm 
653 |a global sensitivity analysis 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/53700  |7 0  |z DOAB: description of the publication