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International Journal of Coal Preparation and Utilization Volume 37, 2017 - Issue 4
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Articles

Optimization Studies on a Multi-Gravity Separator Treating Ultrafine Coal

Ram Chandra ChaurasiaDepartment of Fuel & Mineral Engineering, Indian School of Mines, Dhanbad, IndiaCorrespondence[email protected]
&
Suresh NikkamDepartment of Fuel & Mineral Engineering, Indian School of Mines, Dhanbad, India
Pages 195-212 | Received 01 Aug 2015, Accepted 29 Jan 2016, Published online: 16 Jun 2016

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Mohana Rao Andavarapu, A. Vidyadhar & Ranjit Prasad. (2023) Recovery of clean coking coal from difficult-to-wash low volatile coking coal fines of Jharia coalfield by multi gravity separator. International Journal of Coal Preparation and Utilization 43:6, pages 1098-1118.
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Dejalin Sahu, Ram Chandra Chaurasia & Nikkam Suresh. (2022) Statistical studies on high ash Indian coal crushed to (−3 mm) using 76 mm dense medium cyclone. International Journal of Coal Preparation and Utilization 42:3, pages 389-409.
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Vedat Deniz. (2021) Prediction of barite recovery and grade by multiple linear regression (MLR) analysis in concentrating of barite tailings by using multi-gravity separator (MGS). Particulate Science and Technology 39:6, pages 748-756.
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Ram Chandra Chaurasia, Dejalin Sahu & Nikkam Suresh. (2021) Prediction of ash content and yield percent of clean coal in multi gravity separator using artificial neural networks. International Journal of Coal Preparation and Utilization 41:5, pages 362-369.
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Abhishek Anand Hembrom & Nikkam Suresh. (2018) Evaluation of the performance of water-only cyclone for fine coal beneficiation using optimization process. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:23, pages 2842-2852.
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Avimanyu Das & Biswajit Sarkar. (2018) Advanced Gravity Concentration of Fine Particles: A Review. Mineral Processing and Extractive Metallurgy Review 39:6, pages 359-394.
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Semih Oluklulu & Sabiha Koca. (2018) Modeling​ some of the operational parameters of MGS for lignite cleaning by full factorial design methodology. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 40:12, pages 1520-1531.
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Articles from other publishers (8)

Theerayut Phengsaart, Palot Srichonphaisan, Chinawich Kertbundit, Natatsawas Soonthornwiphat, Somthida Sinthugoot, Nutthakarn Phumkokrux, Onchanok Juntarasakul, Kreangkrai Maneeintr, Apisit Numprasanthai, Ilhwan Park, Carlito Baltazar Tabelin, Naoki Hiroyoshi & Mayumi Ito. (2023) Conventional and recent advances in gravity separation technologies for coal cleaning: A systematic and critical review. Heliyon 9:2, pages e13083.
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Deepak Nayak, Tonmoy Kundu, Nilima Dash, Shiva Kumar I. Angadi, S. K. Chaurasiya, G. E. Sreedhar, T. V. S. Subrahmanyam & Swagat S. Rath. (2022) Evaluation of VSK separation in the classification of two mineralogically different iron ore fines. International Journal of Minerals, Metallurgy and Materials 30:2, pages 260-270.
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S.K. Sriramoju, D. Kumar, S. Majumdar, P.S. Dash, D. Shee & R. Banerjee. (2021) Sustainability of coal mines: Separation of clean coal from the fine-coal rejects by ultra-fine grinding and density-gradient-centrifugation. Powder Technology 383, pages 356-370.
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M. Ramudzwagi, N. Tshiongo-Makgwe & W. Nheta. (2020) Recent developments in beneficiation of fine and ultra-fine coal -review paper. Journal of Cleaner Production 276, pages 122693.
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Semih OLUKLULU & Sabiha KOCA. (2018) TAM FAKTÖRİYEL TASARIMIN MGS İLE KÖMÜR ZENGİNLEŞTİRMEYE UYGULANMASIApplication of Full Factorial Design to Coal Cleaning by MGS. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi 26:3, pages 117-122.
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Ram Chandra Chaurasia, Dejalin Sahu & Suresh Nikkam. (2018) Cleaning of Coal by Multi Gravity Separator. Transactions of the Indian Institute of Metals 71:6, pages 1487-1495.
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Robert Fitzpatrick, Patrick Hegarty, Keith Fergusson, Gavyn Rollinson, Weiguo Xie & Treve Mildren. (2018) Optimisation of a Multi-Gravity Separator with Novel Modifications for the Recovery of Ferberite. Minerals 8:5, pages 191.
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Anand Mohan Yadav, Ram Chandra Chaurasia, Nikkam Suresh & Pratima Gajbhiye. (2018) Application of artificial neural networks and response surface methodology approaches for the prediction of oil agglomeration process. Fuel 220, pages 826-836.
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