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International Journal of Coal Preparation and Utilization Volume 42, 2022 - Issue 3
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Research Article

Statistical studies on high ash Indian coal crushed to (−3 mm) using 76 mm dense medium cyclone

Dejalin SahuDepartment of Fuel and Mineral Engineering, IIT(ISM), Dhanbad, Jharkhand, IndiaCorrespondence[email protected]
,
Ram Chandra ChaurasiaDepartment of Fuel and Mineral Engineering, IIT(ISM), Dhanbad, Jharkhand, IndiaORCID Iconhttps://orcid.org/0000-0003-2723-5144
ORCID Icon &
Nikkam SureshDepartment of Fuel and Mineral Engineering, IIT(ISM), Dhanbad, Jharkhand, India
Pages 389-409 | Received 05 Nov 2018, Accepted 08 Apr 2019, Published online: 29 Apr 2019

Citations (9)

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Read on this site (8)

Dejalin Sahu, Nikkam Suresh, Hari Vuthaluru & Gordon D Ingram. (2023) Performance characteristics of 76 mm dense medium cyclone to wash high ash high NGM coal. International Journal of Coal Preparation and Utilization 0:0, pages 1-32.
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Dejalin Sahu, Suresh Nikkam, Hari Vuthaluru, Gordon D Ingram & Omid Kavianipour. (2023) Dense medium separator performance evaluation based on 3D Eulerian-Eulerian multiphase CFD simulation. International Journal of Coal Preparation and Utilization 43:4, pages 646-665.
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Chunxia Zhou, Xiaolu Sun, Yingsong Shen, Yuanhe Yue, Muyang Jing, Weinong Liang & Haijun Zhang. (2023) Product quality prediction in dense medium coal preparation process based on recurrent neural network. International Journal of Coal Preparation and Utilization 0:0, pages 1-18.
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Bharath Kumar Shanmugam, Harsha Vardhan, M. Govinda Raj, Marutiram Kaza, Rameshwar Sah & Harish Hanumanthappa. (2023) Comparison of the prediction performance of separating coal in separation equipment using machine learning based cubic regression modelling and cascade neural network modelling. International Journal of Coal Preparation and Utilization 43:2, pages 248-263.
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Ajita Kumari, Alok Tripathy & N. R. Mandre. (2023) Artificial neural network-based sensitivity analysis and experimental investigation of liquid–solid fluidization technique for low-grade coal upgradation. Journal of Dispersion Science and Technology 44:2, pages 265-277.
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Bharath Kumar Shanmugam, Harsha Vardhan, M. Govinda Raj, Marutiram Kaza, Rameshwar Sah & Harish Hanumanthappa. (2022) ANN modeling and residual analysis on screening efficiency of coal in vibrating screen. International Journal of Coal Preparation and Utilization 42:10, pages 2880-2894.
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Bharath Kumar Shanmugam, Harsha Vardhan, M. Govinda Raj, Marutiram Kaza, Rameshwar Sah & Harish Hanumanthappa. (2022) Artificial neural network modeling for predicting the screening efficiency of coal with varying moisture content in the vibrating screen. International Journal of Coal Preparation and Utilization 42:9, pages 2656-2674.
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Dejalin Sahu, Nikkam Suresh & Hari Vuthaluru. (2022) Mathematical representation of the performance of DM cyclone and Vorsyl separator for coal cleaning. International Journal of Coal Preparation and Utilization 42:7, pages 1938-1951.
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Articles from other publishers (1)

Lucas F. L. Santos, Bruno X. Ferreira, Amanda L. T. Brandão & Brunno F. Santos. (2022) Comparison between response surface methodology and artificial neural network: Application in three‐product hydrocyclones. The Canadian Journal of Chemical Engineering 101:1, pages 380-399.
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