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Sökning: id:"swepub:oai:DiVA.org:ltu-7100" > Fuzzy analytical hi...

Fuzzy analytical hierarchy process approach for ranking the sawability of carbonate rock

Ataei, Mohammad A. (författare)
Shahrood University of Technology, Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology
Mikaeil, Reza (författare)
Department of Mining and Metallurgy Engineering, Urmia University of Technology, Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog
Hoseinie, Hadi (författare)
Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technolog
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Hosseini, Seyed Mehdi (författare)
Department of Mining, Shahrood Branch, Islamic Azad University, Shahrood
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 (creator_code:org_t)
Elsevier BV, 2012
2012
Engelska.
Ingår i: International Journal of Rock Mechanics And Mining Sciences. - : Elsevier BV. - 1365-1609 .- 1873-4545. ; 50, s. 83-93
  • Tidskriftsartikel (refereegranskat)
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  • A new classification system is presented to evaluate and ranking the sawability of carbonate rock. The sawability of carbonate rock is classified into five categories: excellent, good, fair, poor and very poor. The sawability is assumed to depend on the uniaxial compressive strength, Young's modulus, Mohs hardness, and a new abrasivity index. The FAHP approach is used to determine the weights of the above-mentioned parameters by decision makers. Moreover, in this paper, a new classification system was developed to modify Schimazek's F-abrasiveness factor. In this new abrasivity classification, each parameter has a different importance coefficient. The new abrasivity index of carbonate rocks can be obtained from this new abrasivity classification system. The calculated sawability index of developed classification is applied for Iranian carbonate rocks to evaluation the energy consumption in rock sawing process. A variety of two groups of carbonate rocks (seven types) were saw using a fully instrumented laboratory sawing rig at different feed rates, peripheral speeds, and depth of cut. Then, a new statistical model was obtained using multiple regression method based on operating parameters and rock sawability index

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TEKNIK OCH TEKNOLOGIER  -- Samhällsbyggnadsteknik -- Annan samhällsbyggnadsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Civil Engineering -- Other Civil Engineering (hsv//eng)

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