Title: Energy consumption prediction of gang saws from rock properties in carbonate rocks cutting process
Authors: Alireza Dormishi; Mohammad Ataei; Reza Khalokakaei; Reza Mikaeil
Addresses: Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran ' Faculty of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran ' Faculty of Mining, Petroleum & Geophysics, Shahrood University of Technology, Shahrood, Iran ' Department of Mining and Metallurgical Engineering, Urmia University of Technology, Urmia, 57171-35459, Iran
Abstract: Performance measurements of gang saws were conducted on 12 different carbonate rocks in marble factories located in Iran. Ampere consumption and rock properties such as uniaxial compressive strength, Young modulus, Mohs hardness and Schimazek's F-abrasiveness factor were evaluated using linear and nonlinear regression analysis. The result of linear regression indicated that there is a strong correlation (R2 = 0.85) between ampere consumption and uniaxial compressive strength compared to other parameters. The developed nonlinear models were verified by statistical tests and the best predicted model was selected. It was concluded that the ampere consumption of carbonate rocks using gang saws can reliably be estimated with a coefficient of correlation above 0.9 using the developed model. It is very useful to evaluate the energy consumption and predict the energy cost for a new rock type by only the mechanical properties testing.
Keywords: carbonate rock sawability; gang saws; ampere consumption; uniaxial compressive strength; Young modulus; Mohs hardness; Schimazek's F-abrasiveness factors; statistical analysis; linear regression; nonlinear regression.
International Journal of Mining and Mineral Engineering, 2018 Vol.9 No.3, pp.216 - 227
Received: 21 Dec 2017
Accepted: 15 Jun 2018
Published online: 12 Nov 2018 *