Raghavan, V.Murthy, C.S.N.2026-02-062020Learning and Analytics in Intelligent Systems, 2020, Vol.2, , p. 374-38226623447https://doi.org/10.1007/978-3-030-24314-2_46https://idr.nitk.ac.in/handle/123456789/30740In this study, we used picks with point attack angles of 45°, 50°, 55°, and 65° and 45°, 55°, and 65° attack angles in rock cutting experiments. The main objective is to estimate specific energy during the cutting process based on rock brittleness and study the influence of attack angle on specific energy. From the experimental data, we compared the obtained results using multiple linear regressions and ANOVA to predict the specific energy and found that the model developed were statistically significant. R2 of the brittleness B<inf>4</inf> is 0.79 in comparision with R2 of density, UCS, BTS and abrasivity as 0.74, 0.83, 0.84 and 0.73. Specific energy not only be predicted from density, UCS, BTS, abrasivity, it can also be predicted using rock brittleness. © 2020, Springer Nature Switzerland AG.ANOVABrittlenessMechanical propertiesRegressionRock cuttingStudents t test