Faculty Publications
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Publications by NITK Faculty
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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.Item Experimental, simulation and a case study on electrical energy consumption in mine drive haulage system(Institute of Electrical and Electronics Engineers Inc., 2015) Moger, G.D.; Murthy, C.S.N.; Yaragatti, R.Y.The experimental investigation study on energy consumption of fabricated 3hp mine drive haulage system is presented. The performance analysis of energy consumption based on existing mine drive haulage system of underground coal mine and experimental set-up is prepared in the laboratory for a 3-hp wound rotor induction motor. The experimental and a case study results are simulated using MATLAB /simulink model and the compared results are presented in this paper. © 2015 IEEE.Item Failure rate and reliability of the KOMATSU hydraulic excavator in surface limestone mine(American Institute of Physics Inc. subs@aip.org, 2018) N. S., N.S.; Choudhary, R.P.; Murthy, C.S.N.The model with failure rate function of bathtub-shaped is helpful in reliability analysis of any system and particularly in reliability associated privative maintenance. The usual Weibull distribution is, however, not capable to model the complete lifecycle of the any with a bathtub-shaped failure rate function. In this paper, failure rate and reliability analysis of the KOMATSU hydraulic excavator/shovel in surface mine is presented and also to improve the reliability and decrease the failure rate of each subsystem of the shovel based on the preventive maintenance. The model of the bathtub-shaped for shovel can also be seen as a simplification of the Weibull distribution. © 2018 Author(s).Item Effect of shading on PV panel technology(Institute of Electrical and Electronics Engineers Inc., 2018) Tripathi, A.K.; Murthy, C.S.N.Solar photovoltaic energy conversion has gained much attention nowadays. The performance of solar photovoltaic system mainly depends on the solar radiation falling on the panel surface. Shading across the panel surface is the main cause for the degradation of its performance. It was found that due to 25% shading strength in mono crystalline PV panel the reduction in short circuit current and maximum power output was respectively 40.72% and 41.40%. Similarly, the reduction in short circuit current and maximum power output was 60.86% and 61.80%, respectively for poly crystalline panel. Under the same level of shading the monocrystalline PV panel shows less reduction in its performance when compared to poly crystalline PV panel. © 2017 IEEE.Item Comparison of the particle size distribution in marble and granite rock samples subjected to ball milling process(Society for Mining, Metallurgy and Exploration theng@smenet.org 12999 E Adam Aircraft Circle Englewood,Colorado 80112 Colorado, 2019) Kunar, B.M.; Murthy, C.S.N.; Rao, B.K.Rock particle size has a very important significance in the mining industry, starting from blasting till the mineral processing. The present study was carried out to understand the particle size distribution in various sieves after conducting the ball milling process. The time of the grinding process was varied at different intervals. It was observed that 80% of the particles of both granite and marble rock samples passed through the 4800 μm sieve when subjected to grinding time of 40 minutes. Also, it was observed the number of particles that were retained in the smallest sieve of <75 μm was higher in the case of granite sample when compared to a marble sample. © © 2019 by SME.Item Prediction and Assessment of LHD Machine Breakdowns Using Failure Mode Effect Analysis (FMEA)(Springer Science and Business Media Deutschland GmbH, 2020) Balaraju, J.; Govinda Raj, M.; Murthy, C.S.N.Across the world, production industries are always searching for enhancement of productivity by producing the targeted level of production. In the mining industry, Load Haul Dumper (LHD) is one of the major production equipments generally utilized as an intermediate level technology-based transportation system. LHDs are prone to uneven modes of multiple failures/breakdowns due to harsh operating environmental conditions. This leads to a decrease in the performance of the equipment and increases the maintenance cost, the number of unplanned outages (downtime), as well as loss of production levels. This can be controlled by adequate prediction of machine failures through root cause analysis (RCA). In the present investigation, a well-known fault prediction technique, i.e., failure mode effect analysis (FMEA) was utilized to identify the modes of potential failure, causative factors and recognize the effects of these failures on performance and safety. The risk-based numerical assessment was made by prioritizing the failure modes through the risk priority number (RPN) model. The criticality of failure was estimated using RPN values. They are calculated by the product of risk indexed/ruled parameters [severity (S), occurrence (O) and detection (D)]. Further, an attempt has been made to suggest suitable remedial actions to reduce or eliminate the various potential failures. © 2020, Springer Nature Singapore Pte Ltd.Item Prediction of Energy Efficiency of Main Transportation System Used in Underground Coal Mines – A Statistical Approach(Springer Nature, 2020) Sarathbabu Goriparti, N.V.; Murthy, C.S.N.; Mangalpady, A.Transport in underground mines i.e. belt conveyor is used for carrying extracted materials from one station to other. Transportation involves energy as its main consumer. An efficient energy system adapted for transporting extracted materials can minimize energy losses, hence resulting in reduced cost of energy. Energy to transportation is provided by means of an electric motor, the efficiency of the electric motor depend on load carried by the system, the length and height to which the material has to be delivered. The present study was carried on the energy efficiency of three different transportation systems in GDK-1&3 incline underground mine, The Singareni Collieries Company Limited, Ramagundam. The present study was carried out considering two cases with first, load varying from 20% to 100% keeping conveyor speed constant. Secondly, with 20% fixed loading and varying the conveyor speed from 1 m/s to 2 m/s. Estimation of the energy efficiency for a unique electric motor was estimated considering both the cases which involved three different lengths and heights. It was observed that with a constant conveyor speed of 2 m/s and filling rate varying from 27.775 kg/m to 5.555 kg/m, the amount of increase in efficiency was found to be 23.92%, 18.75% and 5.25% for Gantry, 5L and Surface conveyors respectively. Also with a constant filling rate of 5.555 kg/m and conveyor speed varying from 1 m/s to 2 m/s, the amount of decrease in efficiency was found to be 13.63%, 11.52% and 1.64% for Gantry, 5L and Surface conveyors respectively. Further a prediction study was carried on the energy efficiency based on the input parameters load, length and height. The model gives an R2 value 87% which is significant. © 2020, Springer Nature Switzerland AG.Item Temperature Measurement During Rotary Drilling of Rocks - A Statistical Approach(Springer Nature, 2020) Vijay Kumar, S.; Kunar, B.M.; Murthy, C.S.N.This paper discusses a statistical analysis to measure the temperature during rotary drilling of fine-grained sandstone (pink) using embedded thermocouple method. The regression models consist of three input variables such as diameter of the bit, rpm and rate of penetration for different depth of thermocouples. Experimental test were conducted in computer numerical control (CNC) vertical machining centre. The measured temperature has been applied to study the influencing parameter using statistical technique. Analysis of variance (ANOVA) shows that the percentage contribution ratio of each operational parameters on temperature (output response). The most influencing parameter for temperature is rate of penetration with a percentage contribution of 71.32%, followed by drill bit diameter and spindle speed which contribute 19.27% and 2.99% respectively. The ANOVA and regression models for temperature give p-values of less than 0.05. Hence the predicted regression models are statistically significant and good predictive capabilities with acceptable accuracy. © 2020, Springer Nature Switzerland AG.Item Evolution of the Probability Distribution Function of Shovel – Dumper Combination in Opencast Coal Mine Using ANN and RWB(Springer Nature, 2020) N. S., N.S.; Choudhary, R.P.; Murthy, C.S.N.This article presents a new analytic calculation for the shovel – dumper combination in opencast coal mine evolution of the one and two galaxy probability distribution function (PDF). To develop a nonparametric PDF for a combination of shovel and dumper in a opencast coal mine, the historical breakdown data such as time between failure (TBF) of a shovel and dumpers were collected from the mine. Based on the collected TBF, Weibull parameters such as the shape parameter (β), scale parameter (η) and location parameter (γ) were calculated under the K-S test (Kolmogorov–Smirnov test). A Weibull distribution model has been developed to obtain the one and two galaxy probability distribution function (PDF) for a collected failure data of shovel-dumper system using Reliability Isograph Workbench (RWB). Also, Artificial Neural Network (ANN) model has been developed to predict the PDF for the same shovel-dumper system and compared with the actual obtained value of Reliability Isograph Workbench (RWB). It was found that the values of RMSE and R2 were 0.00068 & 0.9465 for PDF. The statistical results showed that the proposed Reliability Isograph Workbench and ANN model successfully predicts PDF for the shovel-dumper system. © 2020, Springer Nature Switzerland AG.Item Prediction of specific energy using dominant frequency of acoustics produced during diamond core drilling operations(American Institute of Physics Inc. subs@aip.org, 2020) Vijaya Kumar, Ch.V.; Murthy, C.S.N.; Vardhan, H.The diamond core drilling operation is very essential in the preliminary stage of mineral extraction in the mining industry. The energy required to remove a unit volume of the rock mass (specific energy) is discussed in the present investigation. Estimation of the specific energy is the essential key parameter for tunneling, excavation, and other allied industries. It helps in reducing the time-consuming and cost of the project. For that, the laboratory experimental work was carried out on a laterite rock using CNC drilling machine BMV45T20. Using a multiple regression analysis reasonable mathematical equation was established among specific energy and dominant frequencies through diamond rock core drilling operations. The established prediction model could be utilized at the preliminary stage of the excavation projects for estimation of the specific energy in tunneling, excavation and petroleum industries. © 2020 Author(s).