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International Journal of Coal Preparation and Utilization Volume 42, 2022 - Issue 11
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Research Article

Application of fractional factorial design for evaluating the separation performance of the screening machine

Bharath Kumar Shanmugama Department of Mining Engineering, National Institute of Technology Karnataka, Mangalore, Surathkal, IndiaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4535-3697
ORCID Icon,
Harsha Vardhana Department of Mining Engineering, National Institute of Technology Karnataka, Mangalore, Surathkal, India
,
M. Govinda Raja Department of Mining Engineering, National Institute of Technology Karnataka, Mangalore, Surathkal, India
,
Marutiram Kazab Department of Research and Development, JSW Steel Limited, Vijayanagar Works, Ballari, Karnataka, India
,
Rameshwar Sahb Department of Research and Development, JSW Steel Limited, Vijayanagar Works, Ballari, Karnataka, India
&
Harish Hanumanthappaa Department of Mining Engineering, National Institute of Technology Karnataka, Mangalore, Surathkal, India
Pages 3369-3379 | Received 08 May 2021, Accepted 27 Jul 2021, Published online: 04 Aug 2021

Citations (6)

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Bharath Kumar Shanmugam, Harsha Vardhan, M. Govinda Raj, Marutiram Kaza, Harish Hanumanthappa, Raghunatha Reddy Byrareddy & Rameshwar Sah. (2023) Experimental analysis of vibratory screener efficiency based on density variation for screening coal and iron ore. International Journal of Coal Preparation and Utilization 0:0, pages 1-15.
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Bharath Kumar Shanmugam, Harsha Vardhan, M. Govinda Raj, Marutiram Kaza, Rameshwar Sah & Harish Hanumanthappa. (2023) Comparison of the predictive model performance of Taguchi’s L27 and Box Behnken design optimization method for separating coal in vibrating screen. International Journal of Coal Preparation and Utilization 43:3, pages 436-447.
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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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Lokesh Kanchugaranahally Sriramamurthy, Bharath Kumar Shanmugam Nagarathna, Thandra Paavan Kumar, Harish Hanumanthappa, Mohanraj Thimmegowda, Shrinivasa D. Mayya, Shobharani Krishnameena Yashaswini Srivatsav & Aishwarya Brindha Kavitha Kumar. (2022) Experimental and Statistical Evaluation of the Mechanical Performance of (Jute and Cocopeat) Plant and (Silk) Animal-based Hybrid Fibers Reinforced with Epoxy Polymers. Journal of Natural Fibers 19:16, pages 12664-12675.
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Articles from other publishers (2)

Leonardo Bandeira dos Santos, Rita de Cássia Freire Soares da Silva, Leonildo Pereira PedrosaJr.Jr., Rodrigo Dias Baldo, Mohand Benachour, Attilio Converti, Leonie Asfora Sarubbo & Valdemir Alexandre dos Santos. (2023) Induced Pre-Saturation Tower: A Technological Innovation for Oily Water Treatment in Semi-Industrial Scale. Energies 16:5, pages 2278.
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K. S. Lokesh, Thomas Pinto, D. Shrinivasa Mayya, Bharath Kumar Shanmugam, B. P. Panduranga, Harish Hanumanthappa & G. T. Mohanraj. (2022) Effect of Wollastonite Filler on the Experimental and Microstructural Analysis of Epoxy Composite Reinforced with E-glass Fibre. Journal of The Institution of Engineers (India): Series D 103:2, pages 489-496.
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