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Assessment and Prediction of Specific Energy Using Rock Brittleness in Rock Cutting

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International Conference on Emerging Trends in Engineering (ICETE)

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 2))

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Abstract

In 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 B4 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.

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Correspondence to Vijaya Raghavan .

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Raghavan, V., Murthy, C.S.N. (2020). Assessment and Prediction of Specific Energy Using Rock Brittleness in Rock Cutting. In: Satapathy, S., Raju, K., Molugaram, K., Krishnaiah, A., Tsihrintzis, G. (eds) International Conference on Emerging Trends in Engineering (ICETE). Learning and Analytics in Intelligent Systems, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-030-24314-2_46

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  • DOI: https://doi.org/10.1007/978-3-030-24314-2_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24313-5

  • Online ISBN: 978-3-030-24314-2

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