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Chelgani, Saeed ChehrehORCID iD iconorcid.org/0000-0002-2265-6321
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Publications (10 of 135) Show all publications
Gao, J., Bu, X., Dong, L., Qiu, Y., Xie, G. & Chehreh Chelgani, S. (2024). Natural Graphite Froth Flotation-An Overview. Mineral Processing and Extractive Metallurgy Review
Open this publication in new window or tab >>Natural Graphite Froth Flotation-An Overview
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2024 (English)In: Mineral Processing and Extractive Metallurgy Review, ISSN 0882-7508, E-ISSN 1547-7401Article, review/survey (Refereed) Epub ahead of print
Place, publisher, year, edition, pages
Taylor and Francis Ltd., 2024
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-103990 (URN)10.1080/08827508.2024.2305384 (DOI)2-s2.0-85182466241 (Scopus ID)
Note

Funder: National Natural Science Foundation of China (52204296)

Available from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-01-29
Asimi Neisiani, A. & Chehreh Chelgani, S. (2023). Biodegradable acids for pyrite depression and green flotation separation–an overview. Critical reviews in biotechnology
Open this publication in new window or tab >>Biodegradable acids for pyrite depression and green flotation separation–an overview
2023 (English)In: Critical reviews in biotechnology, ISSN 0738-8551, E-ISSN 1549-7801Article, review/survey (Refereed) Epub ahead of print
Abstract [en]

Exponential increasing demands for base metals have made meaningful processing of their quite low-grade (>1%) resources. Froth flotation is the most important physicochemical pretreatment technique for processing low-grade sulfide ores. In other words, flotation separation can effectively upgrade finely liberated base metal sulfides based on their surface properties. Various sulfide surface characters can be modified by flotation surfactants (collectors, activators, depressants, pH regulators, frothers, etc.). However, these reagents are mostly toxic. Therefore, using biodegradable flotation reagents would be essential for a green transition of ore treatment plants, while flotation circuits deal with massive volumes of water and materials. Pyrite, the most abundant sulfide mineral, is frequently associated with valuable minerals as a troublesome gangue. It causes severe technical and environmental difficulties. Thus, pyrite should be removed early in the beneficiation process to minimize its problematic issues. Recently, conventional inorganic pyrite depressants (such as cyanide, lime, and sulfur-oxy compounds) have been successfully assisted or even replaced with eco-friendly and green reagents (including polysaccharide-based substances and biodegradable acids). Yet, no comprehensive review is specified on the biodegradable acid depression reagents (such as tannic, lactic, humic acids, etc.) for pyrite removal through flotation separation. This study has comprehensively reviewed the previously conducted investigations in this area and provides suggestions for future assessments and developments. This robust review has systematically explored depression performance, various adsorption mechanisms, and aspects of these reagents on pyrite surfaces. Furthermore, factors affecting their efficiency were analyzed, and gaps within each area were highlighted.

Place, publisher, year, edition, pages
Taylor & Francis, 2023
Keywords
adsorption mechanisms, biodegradable acids, green flotation, Pyrite
National Category
Metallurgy and Metallic Materials Mineral and Mine Engineering
Research subject
Mineral Processing; Centre - Centre for Advanced Mining & Metallurgy (CAMM)
Identifiers
urn:nbn:se:ltu:diva-101221 (URN)10.1080/07388551.2023.2238885 (DOI)001051928000001 ()37599429 (PubMedID)2-s2.0-85168531070 (Scopus ID)
Note

Funder: Center  of  Advanced  Mining  and  Metallurgy (CAMM3), Luleå University of Technology

Available from: 2023-09-06 Created: 2023-09-06 Last updated: 2023-09-06
Gouvêa Junior, J. T., Chipakwe, V., de Salles Leal Filho, L. & Chelgani, S. C. (2023). Biodegradable ether amines for reverse cationic flotation separation of ultrafine quartz from magnetite. Scientific Reports, 13(1), Article ID 20550.
Open this publication in new window or tab >>Biodegradable ether amines for reverse cationic flotation separation of ultrafine quartz from magnetite
2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 20550Article in journal (Refereed) Published
Abstract [en]

A considerable amount of ultrafine magnetite as the iron source will end up in the tailing dams since the magnetic separation process markedly drops as the particle size. Cationic reverse flotation could be one of the main alternatives for recovering ultrafine magnetite. As a systematic approach, this study explored the flotation efficiency and interaction mechanisms of two biodegradable ether amines (diamine and monoamine) to separate ultrafine quartz from magnetite (− 20 µm). Several assessments (single and mixed mineral flotation, zeta potential, contact angle, surface tension measurement, turbidity, and Fourier transform infrared) were conducted to explore the efficiency of the process and the interaction mechanisms. Results indicated that ether diamine and monoamine could highly float ultrafine quartz particles (95.9 and 97.7%, respectively) and efficiently separate them from ultrafine magnetite particles. Turbidity assessments highlighted that these cationic collectors could aggregate magnetite particles (potentially hydrophobic coagulation) and enhance their depression. Surface analyses revealed that the collector mainly adsorbed on the quartz particles, while it was essentially a weak interaction on magnetite.

Place, publisher, year, edition, pages
Springer Nature, 2023
National Category
Metallurgy and Metallic Materials
Research subject
Centre - Centre for Advanced Mining & Metallurgy (CAMM); Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-103023 (URN)10.1038/s41598-023-47807-0 (DOI)
Funder
Vinnova, 2020-04835
Note

Validerad;2023;Nivå 2;2023-11-28 (joosat);

License full text: CC BY 4.0

Available from: 2023-11-28 Created: 2023-11-28 Last updated: 2023-11-28Bibliographically approved
Asimi Neisiani, A., Saneie, R., Mohammadzadeh, A., Wonyen, D. G. & Chelgani, S. C. (2023). Biodegradable hematite depressants for green flotation separation – An overview. Minerals Engineering, 199, Article ID 108114.
Open this publication in new window or tab >>Biodegradable hematite depressants for green flotation separation – An overview
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2023 (English)In: Minerals Engineering, ISSN 0892-6875, E-ISSN 1872-9444, Vol. 199, article id 108114Article, review/survey (Refereed) Published
Abstract [en]

Due to environmental issues and the restrictions imposed on mineral flotation separation, the use of biodegradable and environmentally friendly reagents has gained widespread international attention. So far, several investigations have been conducted regarding the eco-friendly flotation separation of iron oxide ores for moving toward sustainable development and cleaner production. Yet, no critical review is specified on the green and eco-friendly depression reagents through their reverse flotation beneficiation. Therefore, this study will comprehensively discuss the previously conducted works in this area and provides suggestions for future assessments and developments. This robust study explored various adsorption aspects of natural-based depressants (polysaccharide-, polyphenolic-, and lignosulfonate-based) on iron oxide minerals (mainly hematite) to create a possible universal trend for each biodegradable depressant derivative. The laboratory and industrial experiments indicated that these depressants (except lignosulfonate-based) could selectively depress hematite at alkaline pHs and enhance its reverse flotation separation from their gangue phases (especially silicates as the main gangue phases). Although these eco-friendly depressants showed promising metallurgical results, several gaps still need to be addressed, notably in surface analyses and their adsorption mechanisms.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Biodegradable, Depressant, Iron oxides, Green flotation
National Category
Metallurgy and Metallic Materials Mineral and Mine Engineering
Research subject
Mineral Processing; Centre - Centre for Advanced Mining & Metallurgy (CAMM)
Identifiers
urn:nbn:se:ltu:diva-97265 (URN)10.1016/j.mineng.2023.108114 (DOI)2-s2.0-85158845706 (Scopus ID)
Funder
Luleå University of Technology
Note

Validerad;2023;Nivå 2;2023-05-23 (hanlid)

Available from: 2023-05-23 Created: 2023-05-23 Last updated: 2023-09-05Bibliographically approved
Pirizadeh, M., Manthouri, M. & Chehreh Chelgani, S. (2023). Coal free-swelling index modeling by an ordinal-based soft computing approach. International Journal of Coal Preparation and Utilization, 43(5), 769-793
Open this publication in new window or tab >>Coal free-swelling index modeling by an ordinal-based soft computing approach
2023 (English)In: International Journal of Coal Preparation and Utilization, ISSN 1939-2699, Vol. 43, no 5, p. 769-793Article in journal (Refereed) Published
Abstract [en]

Coking coal is the most important reductant agent in the steel-making industry and approximately does not have any substitution. Thus, it is globally still on the list of critical raw materials. The free swelling index (FSI) as a qualitative index is used to assess and rank the coking-ability of coal samples. Although the accurate classification of FSI values is one of the most crucial issues in the coke-making industry, it has become one of the most challenging data-driven problems due to the specific difficulties that lie in coal data characteristics. In this study, by analyzing a robust dataset with over 3600 records from U.S. Geological Survey Coal Quality, an insight was obtained into the FSI classification problem factors that have led to the poor performance of machine learning models. By settling the class imbalance at the data level and applying an efficient model training strategy based on the ordinal classification at the algorithmic level, a novel structure for FSI modeling has been proposed. This study also demonstrates direct relation between the model accuracy and the impact of nonlinear feature selection using Mutual Information instead of traditional linear methods.

Place, publisher, year, edition, pages
Taylor & Francis, 2023
Keywords
Free swelling index, coking coal, ordinal classification, imbalance learning, Mutual information
National Category
Metallurgy and Metallic Materials Mineral and Mine Engineering
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-90673 (URN)10.1080/19392699.2022.2076088 (DOI)000796448200001 ()2-s2.0-85130611925 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-06-30 (joosat);

Available from: 2022-05-18 Created: 2022-05-18 Last updated: 2023-09-05Bibliographically approved
Chipakwe, V., Karlkvist, T., Rosenkranz, J. & Chelgani, S. C. (2023). Exploring the effect of a polyacrylic acid-based grinding aid on magnetite-quartz flotation separation. Separation and Purification Technology, 305, Article ID 122530.
Open this publication in new window or tab >>Exploring the effect of a polyacrylic acid-based grinding aid on magnetite-quartz flotation separation
2023 (English)In: Separation and Purification Technology, ISSN 1383-5866, E-ISSN 1873-3794, Vol. 305, article id 122530Article in journal (Refereed) Published
Abstract [en]

It is well documented that the use of grinding aids (GAs) can reduce milling energy consumption. However, the impact of GAs on downstream processes must be addressed in view of complex processes such as froth flotation separation. This study investigates the effects of polyacrylic-based grinding aids (Zalta™ GR20-587: AAG) on the grinding performance and quartz flotation from magnetite. Various AAG dosages and conditions were examined. The grinding results showed lower energy consumption and a finer, more uniform product size with roughened surfaces for AAG compared to grinding without the grinding aid. Flotation tests of single pure minerals showed that AAG enhanced quartz collection with minimal effect on magnetite. Mixed mineral flotation showed that by using AAG, Fe recovery of 92.1 % and 64.5 % Fe grade could be achieved with a lower collector dosage of 100 g/t compared to 200 g/t in the absence of AAG. Zeta potentials and stability measurements showed that AAG shifts the potential, thus improving the stability and dispersion of the suspension. Adsorption tests illustrated that AAG adsorbed on both quartz and magnetite, the former having a higher capacity. FTIR indicated the physisorption interaction between AAG and the minerals. Therefore, the presence of AAG not only improved grinding efficiency but could potentially decrease the amount of collector required to achieve comparable metallurgical performance.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Grinding aid, Polymer, Polyacrylic acid, Flotation performance, Grinding Pretreatment, Energy
National Category
Metallurgy and Metallic Materials Chemical Process Engineering
Research subject
Mineral Processing; Centre - Centre for Advanced Mining & Metallurgy (CAMM)
Identifiers
urn:nbn:se:ltu:diva-94105 (URN)10.1016/j.seppur.2022.122530 (DOI)000900793600002 ()2-s2.0-85141488770 (Scopus ID)
Funder
Vinnova, 2020-04835
Note

Validerad;2022;Nivå 2;2022-11-14 (joosat);

Available from: 2022-11-14 Created: 2022-11-14 Last updated: 2023-12-19Bibliographically approved
Kordloo, M., Khodadadmahmoudi, G., Ebrahimi, E., Rezaei, A., Tohry, A. & Chehreh Chelgani, S. (2023). Green hematite depression for reverse selective flotation separation from quartz by locust bean gum. Scientific Reports, 13, Article ID 8980.
Open this publication in new window or tab >>Green hematite depression for reverse selective flotation separation from quartz by locust bean gum
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2023 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, article id 8980Article in journal (Refereed) Published
Abstract [en]

Reverse cationic flotation is currently the main processing technique for upgrading fine hematite from silicates. Flotation is known as an efficient method of mineral enrichment that deals with possibly hazardous chemicals. Thus, using eco-friendly flotation reagents for such a process is an emerging need for sustainable development and green transition. As an innovative approach, this investigation explored the potential of locust bean gum (LBG) as a biodegradable depressant for the selective separation of fine hematite from quartz through reverse cationic flotation. Various flotation conditions (micro and batch flotation) were conducted, and the mechanisms of LBG adsorption have been examined by different analyses (contact angle measurement, surface adsorption, zeta potential measurements, and FT-IR analysis). The micro flotation outcome indicated that the LBG could selectively depress hematite particles with negligible effect on quartz floatability. Flotation of mixed minerals (hematite and quartz mixture in various ratios) indicated that LGB could enhance separation efficiency (hematite recovery > 88%). Outcomes of the surface wettability indicated that even in the presence of the collector (dodecylamine), LBG decreased the hematite work of adhesion and had a slight effect on quartz. The LBG adsorbed selectively by hydrogen bonding on the surface of hematite based on various surface analyses.

Place, publisher, year, edition, pages
Springer Nature, 2023
National Category
Metallurgy and Metallic Materials Mineral and Mine Engineering
Research subject
Mineral Processing; Centre - Centre for Advanced Mining & Metallurgy (CAMM)
Identifiers
urn:nbn:se:ltu:diva-98228 (URN)10.1038/s41598-023-36104-5 (DOI)37268763 (PubMedID)2-s2.0-85160899846 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-06-12 (hanlid)

Available from: 2023-06-12 Created: 2023-06-12 Last updated: 2023-09-05Bibliographically approved
Liu, Y., Tong, Z., Ni, M., Ren, X., Bu, X., Shao, H. & Chelgani, S. C. (2023). Leaching kinetics of impurity removal from aphanitic graphite by HCl leaching. Separation science and technology (Print), 58(8), 1502-1515
Open this publication in new window or tab >>Leaching kinetics of impurity removal from aphanitic graphite by HCl leaching
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2023 (English)In: Separation science and technology (Print), ISSN 0149-6395, E-ISSN 1520-5754, Vol. 58, no 8, p. 1502-1515Article in journal (Refereed) Published
Abstract [en]

As a systematic study, this investigation explored the effects of various leaching conditions (hydrochloric (HCl) acid concentration, solid-liquid ratio, temperature, reaction time, and stirring speed on graphite impurity removal rate) to model the ash removal leaching kinetics and evaluated their mechanisms by analytical analyses. The single-factor results indicated that the optimal impurity removal rate (alpha) was 14.64% at 8 mol/L HCl concentration, 0.1 g/mL solid-liquid ratio, 343 K acid leaching temperature, 120 min reaction time, and 400 rpm stirring speed. Iron-bearing minerals were efferently removed using HCl. The kinetic process analyses indicated that the aphanitic graphite acid leaching process for the ore fitted well with the unreacted shrinkage core model (diffusion reaction). The reaction's apparent activation energy (Ea) was 23.43 kJ/mol, and the leaching process's frequency factor (A) was 15.17. The kinetic equation could be considered as (1 - 3(1-alpha))2/3 +2(1-alpha) = 15.17e-23.43/(RT)t. From the results, it was concluded that the HCl acid leaching process belongs to diffusion control.

Place, publisher, year, edition, pages
Taylor & Francis, 2023
Keywords
Aphanitic graphite, HC leaching, purification, leaching kinetics
National Category
Metallurgy and Metallic Materials
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-96633 (URN)10.1080/01496395.2023.2193672 (DOI)000952856900001 ()2-s2.0-85151619904 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-04-18 (hanlid);

Funder: National Natural Science Foundation of China (52204296)

Available from: 2023-04-18 Created: 2023-04-18 Last updated: 2023-09-05Bibliographically approved
Chelgani, S. C., Nasiri, H., Tohry, A. & Heidari, H. R. (2023). Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A "conscious lab" approach. Powder Technology, 420, Article ID 118416.
Open this publication in new window or tab >>Modeling industrial hydrocyclone operational variables by SHAP-CatBoost - A "conscious lab" approach
2023 (English)In: Powder Technology, ISSN 0032-5910, E-ISSN 1873-328X, Vol. 420, article id 118416Article in journal (Refereed) Published
Abstract [en]

Undoubtedly hydrocyclones play a critical role in powder technology, which can considerably affect the plants' process efficiency. However, hydrocyclones were rarely modeled on an industrial scale, where a model can be used to train operators and minimize potential scale-up errors and lab costs. The novel approach for filling such a gap would be using conscious lab "CL" as a new concept that builds based on an industrial dataset and explainable artificial intelligence (XAI). As a novel approach, this study developed a CL and explored the interactions between hydrocyclone variables by the most recent XAI method called "SHapley Additive exPlanations (SHAP)", and a novel machine-learning model, "CatBoost". The hydrocyclone output and the particle size of the plant magnetic separator were modeled by SHAP-CatBoost. SHAP could successfully model all the relationships, and CatBoost could predict the O80 and K80, where outcomes had a higher accuracy (R2 similar to 0.90) than other conventional AIs.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Hydrocyclone, Ultrafine particles, Random forest, Support vector regression, XGBoost
National Category
Mineral and Mine Engineering Computer Sciences
Research subject
Mineral Processing; Centre - Centre for Advanced Mining & Metallurgy (CAMM)
Identifiers
urn:nbn:se:ltu:diva-96648 (URN)10.1016/j.powtec.2023.118416 (DOI)000954981700001 ()2-s2.0-85149831670 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-04-18 (hanlid);

Funder: CAMM3, the Center of Advanced Mining and Metallurgy, Luleå University of Technology

Available from: 2023-04-18 Created: 2023-04-18 Last updated: 2023-09-05Bibliographically approved
Fatahi, R., Nasiri, H., Homafar, A., Khosravi, R., Siavoshi, H. & Chehreh Chelgani, S. (2023). Modeling operational cement rotary kiln variables with explainable artificial intelligence methods–a “conscious lab” development. Particulate Science and Technology, 41(5), 715-724
Open this publication in new window or tab >>Modeling operational cement rotary kiln variables with explainable artificial intelligence methods–a “conscious lab” development
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2023 (English)In: Particulate Science and Technology, ISSN 0272-6351, E-ISSN 1548-0046, Vol. 41, no 5, p. 715-724Article in journal (Refereed) Published
Abstract [en]

Digitalizing cement production plants to improve operation parameters’ control might reduce energy consumption and increase process sustainabilities. Cement production plants are one of the extremest CO2 emissions, and the rotary kiln is a cement plant’s most energy-consuming and energy-wasting unit. Thus, enhancing its operation assessments adsorb attention. Since many factors would affect the clinker production quality and rotary kiln efficiency, controlling those variables is beyond operator capabilities. Constructing a conscious-lab “CL” (developing an explainable artificial intelligence “EAI” model based on the industrial operating dataset) can potentially tackle those critical issues, reduce laboratory costs, save time, improve process maintenance and help for better training operators. As a novel approach, this investigation examined extreme gradient boosting (XGBoost) coupled with SHAP (SHapley Additive exPlanations) “SHAP-XGBoost” for the modeling and prediction of the rotary kiln factors (feed rate and induced draft fan current) based on over 3,000 records collected from the Ilam cement plant. SHAP illustrated the relationships between each record and variables with the rotary kiln factors, demonstrated their correlation magnitude, and ranked them based on their importance. XGBoost accurately (R-square 0.96) could predict the rotary kiln factors where results showed higher exactness than typical EAI models.

Place, publisher, year, edition, pages
Taylor & Francis, 2023
Keywords
cement industry, digitalization, machine learning, Rotary kiln
National Category
Manufacturing, Surface and Joining Technology Computer Engineering
Research subject
Mineral Processing
Identifiers
urn:nbn:se:ltu:diva-93792 (URN)10.1080/02726351.2022.2135470 (DOI)000870586800001 ()2-s2.0-85140333138 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-07-19 (sofila)

Available from: 2022-11-03 Created: 2022-11-03 Last updated: 2023-09-05Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0002-2265-6321

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