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Mikaeil, Reza, Ataei, Mohammad, Khalokakaei, Reza, Dormishi, Alireza (2018) Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process. International Journal of Mining and Mineral Engineering, 9 (3) 216 doi:10.1504/ijmme.2018.10017387

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Reference TypeJournal (article/letter/editorial)
TitleEnergy consumption prediction of gang saws from rock properties in carbonate rocks cutting process
JournalInternational Journal of Mining and Mineral Engineering
AuthorsMikaeil, RezaAuthor
Ataei, MohammadAuthor
Khalokakaei, RezaAuthor
Dormishi, AlirezaAuthor
Year2018Volume9
Issue3
PublisherInderscience Publishers
DOIdoi:10.1504/ijmme.2018.10017387Search in ResearchGate
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Mindat Ref. ID751103Long-form Identifiermindat:1:5:751103:9
GUID0
Full ReferenceMikaeil, Reza, Ataei, Mohammad, Khalokakaei, Reza, Dormishi, Alireza (2018) Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process. International Journal of Mining and Mineral Engineering, 9 (3) 216 doi:10.1504/ijmme.2018.10017387
Plain TextMikaeil, Reza, Ataei, Mohammad, Khalokakaei, Reza, Dormishi, Alireza (2018) Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process. International Journal of Mining and Mineral Engineering, 9 (3) 216 doi:10.1504/ijmme.2018.10017387
In(2018) International Journal of Mining and Mineral Engineering Vol. 9 (3) Inderscience Publishers

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Dormishi, Alireza, Ataei, Mohammad, Khalokakaei, Reza, Mikaeil, Reza (2018) Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process. International Journal of Mining and Mineral Engineering, 9 (3) 216 doi:10.1504/ijmme.2018.096115
Khalokakaie, Reza, Ataei, Mohammad, Mikaiel, Reza, Hoseinie, Seyed Hadi (2011) A fuzzy logic based classification for assessing of rock mass drillability. International Journal of Mining and Mineral Engineering, 3 (4) 278 doi:10.1504/ijmme.2011.045470
Mikaeil, Reza, , , Sohrabian, Babak, Ataei, Mohammad, , , , (2018) THE STUDY OF ENERGY CONSUMPTION IN THE DIMENSION STONE CUTTING PROCESS. Rudarsko-geološko-naftni zbornik, 33 (4) 65-71 doi:10.17794/rgn.2018.4.6
Hosseini, Seyed Mehdi, , , Ataei, Mohammad, Khalokakaei, Reza, Mikaeil, Reza, Haghshenas, Sina Shaffiee, , , , , , , , (2019) INVESTIGATING THE ROLE OF COOLANT AND LUBRICANT FLUIDS ON THE PERFORMANCE OF CUTTING DISKS (CASE STUDY: HARD ROCKS) Rudarsko-geološko-naftni zbornik, 34 (2) 13-25 doi:10.17794/rgn.2019.2.2
Hoseinie, Seyed Hadi, Khalokakaie, Reza, Ataei, Mohammad, Kumar, Uday (2011) Reliability-based maintenance scheduling of haulage system of drum shearer. International Journal of Mining and Mineral Engineering, 3 (1) 26 doi:10.1504/ijmme.2011.041447
Mikaeil, Reza, Ataei, Mohammad, Yousefi, Reza (2011) Application of a fuzzy analytical hierarchy process to the prediction of vibration during rock sawing. Mining Science and Technology (China), 21 (5). 611-619 doi:10.1016/j.mstc.2011.03.008
Ataei, Mohammad, Mikaeil, Reza, Hoseinie, Seyed Hadi, Hosseini, Seyed Mehdi (2012) Fuzzy analytical hierarchy process approach for ranking the sawability of carbonate rock. International Journal of Rock Mechanics and Mining Sciences, 50. 83-93 doi:10.1016/j.ijrmms.2011.12.002
Hosseini, Seyed Mehdi, Ataei, Mohammad, Khalokakaei, Reza, Mikaeil, Reza (2020) An Experimental Investigation on the Role of Coolant and Lubricant Fluids in the Maximum Electrical Current Based upon the Rock Physical and Mechanical Properties. Geotechnical and Geological Engineering, 38 (2). 2317-2326 doi:10.1007/s10706-019-01101-x
Sadegheslam, Golsa, Mikaeil, Reza, Rooki, Reza, Ghadernejad, Saleh, Ataei, Mohammad (2013) Predicting the production rate of diamond wire saws using multiple nonlinear regression analysis. Geosystem Engineering, 16 (4) 275-285 doi:10.1080/12269328.2013.856276
Mehdi, Hosseini Seyed, Reza, Mikaeil, Mohammad, Ataei, Khalokakaei, Reza (2013) Development a New Classification for Assessing the Coal Mine Mechanization / Opracowanie nowej klasyfikacji dla oceny mechanizacji w kopalniach węgla. Archives of Mining Sciences, 58 (1) 217-226 doi:10.2478/amsc-2013-0015
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