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Author: search.filters.author.Harsha, V.Subject: search.filters.subject.opencast mining

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    Development of an equation to predict blast induced ground vibrations of open cast lime stone mine by using Multiple Linear Regression (MLR)
    (World Researchers Associations, 2025) Appani, R.; Harsha, V.; Subrahmanyam, S.K.V.
    This study focuses on predicting ground vibrations generated by blasting activities in open cast limestone mining by integrating blast design parameters with conventional variables. Blasting is a critical operation for the effective removal of overburden and mineral extraction, but it can lead to significant adverse effects, particularly ground vibrations, which pose challenges for both mining and environmental engineers. Conventional methods for estimating these vibrations typically focus on the distance from the blast site and the maximum charge per delay as key independent variables. Recognizing the substantial impact of blast design on vibration levels, this research employs multiple linear regression analysis to incorporate additional factors such as blast design elements. By developing a more comprehensive predictive model, the study aims to enhance the accuracy of ground vibration forecasts, ultimately contributing to safer and more sustainable mining practices. © 2025, World Researchers Associations. All rights reserved.
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    Experimental and statistical analysis on rate of penetration under the influence of rotational speed for drilling limestone in the open cast mine area
    (World Researchers Associations, 2025) Subrahmanyam, S.K.V.; Harsha, V.; Reddy, B.R.R.; Shanmugam, S.B.; Harish, H.
    In this study, an experimental investigation was carried out to study the rate of penetration for drilling limestone in an open-cast mine. The investigation was also carried out to study the influence of rotational speed. Drilling experiments were carried out with a constant drilling depth of 10m and varying speeds of 40rpm, 45rpm and 50rpm. As the drilling was carried out, the fresh drill bit caused an increase in the rate of drilling penetration. Further, as it reached the optimal level, there was a decrease in the rate of penetration due to the wearing out of the drill bit. Further, the prediction of experimental results was carried out using the regression analysis using linear and polynomial models. The results show that the polynomial model was found to be in close relation with experimental results. © 2025, World Researchers Associations. All rights reserved.