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Interpretable modeling of metallurgical responses for an industrial coal column flotation circuit by XGBoost and sHAP-A “conscious-lab” development

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International Journal of Mining science and Technology 2021年第6期31卷 1135-1144页

作者： s.chehreh chelgani H.Nasiri M.Alidokht Minerals and Metallurgical Engineering Dept.of CivilEnvironmental and Natural Resources EngineeringLuleåUniversity of TechnologySE-97187 LuleåSweden Department of Computer Engineering Amirkabir University of TechnologyTehranIran Tabas Parvardeh Coal Company(TPCCO) BirjandIran

surprisingly,no investigation has been explored relationships between operating variables and metallurgical responses of coal column flotation(CF) circuits based on industrial databases for under operation *** a novel approach,this study implemented a conscious-lab "CL" for filling this *** this approach,for developing the CL dedicated to an industrial CF circuit,sHapley Additive explanations(sHAP) and extreme gradient boosting(XGBoost) were powerful unique machine learning systems for the first time *** explainable artificial intelligence models could effectively convert the dataset to a basis that improves human capabilities for better understanding,reasoning,and planning the *** could provide precise multivariable correlation assessments between the CF dataset by using the Tabas Parvadeh coal plant(Kerman,Iran),and showed the importance of solid percentage and washing water on the metallurgical responses of the coal CF *** could predict metallurgical responses(R-square> 0.88) based on operating variables that showed quite higher accuracy than typical modeling methods(Random Forest and support vector regression).

关键词： sHAP XGBoost Explainable AI Coal flotation separation efficiency

Polysaccharides-based pyrite depressants for green flotation separation:An overview

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International Journal of Mining science and Technology 2023年第10期33卷 1229-1241页

作者： A.Asimi Neisiani R.saneie A.Mohammadzadeh D.G.Wonyen s.chehreh chelgani Department of Mining and Metallurgical Engineering Yazd UniversityYazd 89195-741Iran Department of Materials Engineering The University of British ColumbiaVancouverBC V6T 1Z4Canada Laboratory for strategic Materials Department of Chemical Engineering and Applied ChemistryUniversity of TorontoToronto M5S 3E5Canada Department of Material science and Engineering(Mining and Mineral Processing Engineering) African University of Science and TechnologyAbuja P.M.B 681Nigeria Minerals and Metallurgical Engineering Swedish School of MinesDept.of CivilEnvironmental and Natural Resources EngineeringLuleå University of TechnologyLuleå SE-97187Sweden

Froth flotation is an essential processing technique for upgrading low-grade *** separation would not be efficient without chemical surfactants(collectors,depressants,frothers,etc.).Depressants play a critical role in the selective separation of minerals in that they deactivate unfavorable mineral surfaces and hinder them from floating into the flotation concentration *** is the most common and challenging sulfide gangue,and its conventional depressants could be highly harmful to nature and ***,using available,affordable,eco-friendly polymers to assist or replace hazardous reagents is mandatory for a green ***-based(starch,dextrin,carboxymethyl cellulose,guar gum,etc.)polymers are one of the most used biodegradable depressant groups for pyrite *** the satisfactory flotation results obtained using these eco-friendly depressants,several gaps still need to be addressed,specifically in investigating surface interactions,adsorption mechanisms,and parameters affecting their depression *** a unique approach,this review comprehensively discussed previously conducted studies on pyrite depression with polysaccharide-based ***,practical suggestions have been provided for future assessments and developments of polysaccharide-based depressants,which pave the way to green *** robust review also explored the depression efficiency and various adsorption aspects of naturally derived depressants on the pyrite surface to create a possible universal trend for each biodegradable depressant derivative.

关键词： Green flotation Pyrite depression Eco-friendly depressants Adsorption mechanisms

Estimation of diameter and surface area flux of bubbles based on operational gas dispersion parameters by using regression and ANFIs

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International Journal of Mining science and Technology 2013年第3期23卷 343-348页

作者： B.shahbazi B.Rezai s.chehreh chelgani s.M.Javad Koleini M.Noaparast Tarbiat Modares University Amirkabir University of Technology Young Researchers and Elites club Science and Research Branch Islamic Azad University Department of Mining Engineering University of Tehran

Adaptive neuro fuzzy inference system (ANFIs) procedure and regression methods were used to predict the sauter mean bubble (bubble diameter) and surface area flux of the bubble in a flotation process. The operational conditions of flotation, impeller peripheral speed, superficial gas velocity, and weight percent solids were used as inputs of methods. By using the mentioned operational conditions, the non linear regression results showed that sauter mean, and surface area flux of the bubble are predictable variables, where the coefficients of determination (R 2 ) are 0.57 and 0.74, respectively. To increase the accuracy of prediction an ANFIs model with cluster radius of 0.4 was applied. ANFIs model was capable of estimating both sauter mean, and surface area flux of the bubble, where in a testing stage, satisfactory correlations, R 2 = 0.78, and 0.86, were achieved for sauter mean, and surface area flux of bubble, respectively. Results show that the proposed ANFIs model can accurately estimate outputs and be used in order to predict the parameters without having to conduct the new experiments in a laboratory.

关键词： Bubble diameter Bubble surface area flux Flotation Regression ANFIs

A review of rare earth minerals flotation: Monazite and xenotime

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International Journal of Mining science and Technology 2015年第6期25卷 877-883页

作者： chelgani s.chehreh Rudolph M. Leistner T. Gutzmer J. Peuker Urs A. Helmholtz-Zentrum Dresden-Rossendorf Helmholtz-Institute Freiberg for Resource Technology Institute of Mechanical Process Engineering and Minerals Processing TU Bergakademie Freiberg

This paper reviews rare earth minerals(monazite and xenotime) separation by flotation. A wide range of monazite and xenotime flotation test results are summarized including: reasons of variation in the point of zero charges on these minerals, the effects of various flotation conditions on zeta potential of monazite and xenotime, interactions of collectors and depressants on the surface of these minerals during flotation separation, relationship between surface chemistry of the minerals and different types of collector adsorptions and effects of the conditioning temperature on flotation of rare earth minerals. This review collects various approaches for the selective separation of monazite and xenotime by flotation and gives perspectives for further research in the future.

关键词： FlotationRare earthMonaziteXenotimeIEPHydroxamate

Exploring relationships of gross calorific value and valuable elements with conventional coal properties for North Korean coals

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International Journal of Mining science and Technology 2019年第6期29卷 867-871页

作者： saeed chehreh chelgani Minerals and Metallurgical Engineering Dept.of Civil Environmental and Natural Resources Engineering Lule? University of Technology

Coal in North Korean(NKC)is one of the most important products;however,based on various strategic policies its detail properties remain opaque even for general *** there are some signs for opening of the North Korea economy,this investigation as a modest effort is going to explore principle relationships among some essential parameters of NKCs such as gross calorific value(GCV),valuable elements and conventional properties by different statistical *** indicated that ultimate parameters(carbon,nitrogen,and hydrogen)are the best GCV predictors for NKCs in comparison with proximate parameters(ash,moisture and volatile matter).Multivariable regression demonstrated that predicted GCV based on ultimate properties has a quite accuracy when correlation of determination was *** statistics processes showed that on average,the contents of valuable elements such as Ga and V for NKCs are higher than the world coal ranges and they can be considered as byproducts of combustion of *** correlations indicated that Y may have a mixed organic-inorganic affinity while Ga and V mainly occur in the inorganic part(mineral matter)of *** inter-correlations between Ga-V and Al showed that aluminosilicates can be considered as their main bring minerals.

关键词： Yttrium Gallium Vanadium Calorific value Energy By product

Explaining surface interactions for common associated gangues of rare earth minerals in response to the oxalic acid

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International Journal of Mining science and Technology 2018年第2期28卷 343-346页

作者： saeed chehreh chelgani Brian Hart Department of Electrical Engineering and Computer science University of Michigan surface science Western University of Western Ontario

In the flotation of rare earth minerals(REMs), oxalic acid is reportedly acting both as a depressant and p H modifier. Although results of testing have established the significance of oxalic acid in the flotation process, its specific role in either the recovery or selectivity of REMs over their common gangue minerals is not well understood. Pulp p H reduction trials with alternative acids have not shown the same effect on the REMs recovery or the depression of gangue phases. This work studies the effect of oxalic acid on the surface of common REMs gangue minerals(quartz and carbonates(dolomite and calcite)) in a series of conditioning tests. Gangue surface analyses by time of flight secondary ion mass spectroscopy(TOFsIMs) indicate that oxalic acid inhibits the transfer of secondary ions generated during the conditioning process from one mineral to another. In this regard, the oxalate anion acts to fix ions in solution through chelation, limiting their participation in surface adsorption.

关键词： Oxalic acid Rare earth silicate Carbonate TOF-sIMs

Estimation of froth flotation recovery and collision probability based on operational parameters using an artificial neural network

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International Journal of Minerals,Metallurgy and Materials 2010年第5期17卷 526-534页

作者： saeed chehreh chelgani Behzad shahbazi Bahram Rezai surface science Western Research Park University of Western Ontario Mining Engineering Department Science and Research Branch Islamic Azad University Amirkabir University of Technology

An artificial neural network and regression procedures were used to predict the recovery and collision probability of quartz flotation concentrate in different operational conditions. Flotation parameters, such as dimensionless numbers （Froude, Reynolds, and Weber）, particle size, air flow rate, bubble diameter, and bubble rise velocity, were used as inputs to both methods. The linear regression method shows that the relationships between flotation parameters and the recovery and collision probability of flotation can achieve correlation coefficients （R2） of 0.54 and 0.87, respectively. A feed-forward artificial neural network with 3-3-3-2 arrangement is able to simultaneously estimate the recovery and collision probability as the outputs. In testing stages, the quite satisfactory correlation coefficient of 0.98 was achieved for both outputs. It shows that the proposed neural network models can be used to determine the most advantageous operational conditions for the expected recovery and collision probability in the froth flotation process.

关键词： flotation recovery collision probability neural networks

Prediction of operational parameters effect on coal flotation using artificial neural network

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Journal of University of science and Technology Beijing 2008年第5期15卷 528-533页

作者： E. Jorjani sh. Mesroghli s. chehreh chelgani Department of Mining Engineering Science and Research BranchIslamic Azad University

Artificial neural network procedures were used to predict the combustible value （i.e. 100-Ash） and combustible recovery of coal flotation concentrate in different operational conditions. The pulp density,pH,rotation rate,coal particle size,dosage of collector,frother and conditioner were used as inputs to the network. Feed-forward artificial neural networks with 5-30-2-1 and 7-10-3-1 arrangements were capable to estimate the combustible value and combustible recovery of coal flotation concentrate respectively as the outputs. Quite satisfactory correlations of 1 and 0.91 in training and testing stages for combustible value and of 1 and 0.95 in training and testing stages for combustible recovery prediction were achieved. The proposed neural network models can be used to determine the most advantageous operational conditions for the expected concentrate assay and recovery in the coal flotation process.

关键词： coal flotation operational parameters artificial neural networks combustible recovery

Modeling of fine coal flotation separation based on particle characteristics and hydrodynamic conditions

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International Journal of Coal science & Technology 2016年第4期3卷 429-439页

作者： B. shahbazi s. chehreh chelgani Department of Mining Engineering Tarbiat Modares University Tehran Iran Department of Electrical Engineering and Computer science University of Michigan Ann Arbor MI 48109 USA

Flotation is a complex multifaceted process that is widely used for the separation of finely ground minerals. The theory of froth flotation is complex and is not completely understood. This fact has been brought many monitoring challenges in a coal processing plant. To solve those challenges, it is important to understand the effect of different parameters on the fine particle separation, and control flotation performance for a particular system. This study is going to indicate the effect of various parameters （particle Characteristics and hydrodynamic conditions） on coal flotation responses （flotation rate constant and recovery） by different modeling techniques. A comprehensive coal flotation database was prepared for the statistical and soft computing methods. statistical factors were used for variable selections. Results were in a good agreement with recent theoretical flotation investigations. Computational models accurately can estimate flotation rate constant and coal recovery （correlation coefficient 0.85, and 0.99, respectively）. According to the results, it can be concluded that the soft computing models can overcome the complexity of process and be used as an expert system to control, and optimize parameters of coal flotation process.

关键词： Coal processing Flotation Modeling Particle characteristics - Hydrodynamic conditions