Browsing by Author "Raghavan, V."

Filter results by typing the first few letters
Now showing 1 - 4 of 4
  • No Thumbnail Available
    Item
    Assessment and Prediction of Specific Energy Using Rock Brittleness in Rock Cutting
    (Springer Nature, 2020) Raghavan, V.; Murthy, C.S.N.
    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. © 2020, Springer Nature Switzerland AG.
  • No Thumbnail Available
    Item
    Investigation on dust generated during rock cutting by ansys software
    (2015) Raghavan, V.; Murthy, Ch.S.N.; Sastry, V.R.
    Underground coal mining operations continue to increase production as mining equipment and practices are improved. Unfortunately, increased production also results in the potential for increased Respirable dust generation and worker exposure. In response, operations are applying basic controls at elevated levels and looking to emerging technologies in an effort to better control Respirable dust levels. Ventilating air and water sprays remain the basis of dust control strategies for both longwall and continuous mining operations, and the level of application for these controls continued to increase. In addition, new technologies are emerging that have the potential to further reduce dust levels. In this Paper an attempt is made to study the Stresses Produced and its Influence on Dust generation at different Attack angle and force applied on the cutting material.
  • No Thumbnail Available
    Item
    Investigation on dust generated during rock cutting by ansys software
    (TMMOB Maden Muhendisleri Odasi, 2015) Raghavan, V.; Murthy, C.S.N.; Sastry, V.R.
    Underground coal mining operations continue to increase production as mining equipment and practices are improved. Unfortunately, increased production also results in the potential for increased Respirable dust generation and worker exposure. In response, operations are applying basic controls at elevated levels and looking to emerging technologies in an effort to better control Respirable dust levels. Ventilating air and water sprays remain the basis of dust control strategies for both longwall and continuous mining operations, and the level of application for these controls continued to increase. In addition, new technologies are emerging that have the potential to further reduce dust levels. In this Paper an attempt is made to study the Stresses Produced and its Influence on Dust generation at different Attack angle and force applied on the cutting material.
  • No Thumbnail Available
    Item
    Prediction of cuttability from rock cutting resistance
    (South African Institute of Mining and Metallurgy, 2018) Raghavan, V.; Murthy, C.S.N.
    The objective of this investigation is to predict rock cuttability from measurements of rock cutting resistance (RCR) during the cutting process and to study the influence of mechanical properties on the depth of cut achieved. Point attack bits with angles of 45°, 50°, 55°, and 65° were used and the experiments were conducted at attack angles of 45°, 55°, and 65°, keeping the rotation speed constant while varying the cutting force and torque during cutting. The depth of each cut was measured and the cut material collected and weighed. The experimental data were compared using an artificial neural network (ANN) and finite element method (FEM) to predict RCR for the measured depth of cut. The results reveal that a 55° attack angle produced the optimum depth of cut. © The Southern African Institute of Mining and Metallurgy, 2018.