Journal Articles

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/19884

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    Application of differential transform method for estimating thermal cycle developed in GTA welding of high carbon steel joints
    (Trans Tech Publications Ltd ttp@transtec.ch, 2015) Dutta, J.; Narendranath, S.; Zhilin, Z.
    This article reveals a detailed study of temperature cycle formed during Gas Tungsten Arc welding of high carbon steel (AISI 1090) butt joints. Experimental work has been carried out to estimate the temperature distribution along fusion boundary to longitudinal direction of the weldment by mounting thermocouples on the plate along with Data Acquisition System. Heat flux distribution due to moving point heat source has been demonstrated by implementing Gaussian surface heat flux and Angular Torch model. Cooling rate has predicted by application of Adams cooling rate equation. Conduction-convection phenomena plays dominant role for evaluating heat loss from the weld joint and Differential Transform Method (DTM) has been applied to judge non-dimensional temperature distribution. Analytical studies has shown well agreement with experimental temperature distribution. © (2015) Trans Tech Publications.
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    Model studies on the efficiency of gravity blind backfilling method and evaluation of a pre-jamming indication parameter
    (CAFET INNOVA Technical Society 1-2-18/103, Mohini Mansion, Gagan Mahal Road, Domalguda, Hyderabad 500029, 2016) Pal, S.K.; Mukhopadhyay, S.K.; Panda, S.; Tripathi, A.K.
    This paper discusses experimental research on a fully transparent scaled model of a section of a Bord and Pillar mine working carried out to study in detail the effectiveness of hydraulic blind backfilling as a solution to reduce subsidence problem above old underground water-logged coal mines. The relative influence of sand and water flow rates on the areas of filling from a single inlet point has been studied in detail. Automatic data acquisition system was installed in the model to continuously record the sand and water flow rates along with the inlet pressure of slurry at the entrance of the model. Pressure signature graphs have been plotted directly with the help of computer. Pressure signature analyses for various slurry flow rates and sand concentrations have been carried out. Investigation has also been carried out on evaluation of a pre-jamming indication parameter, which could be used for indication of the final stage of filling. © 2016 CAFET-INNOVA TECHNICAL SOCIETY. All rights reserved.
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    A novel mathematical morphology based algorithm for shoreline extraction from satellite images
    (Taylor and Francis Ltd., 2017) Rishikeshan, C.A.; Ramesh, H.
    Shoreline extraction is fundamental and inevitable for several studies. Ascertaining the precise spatial location of the shoreline is crucial. Recently, the need for using remote sensing data to accomplish the complex task of automatic extraction of features, such as shoreline, has considerably increased. Automated feature extraction can drastically minimize the time and cost of data acquisition and database updating. Effective and fast approaches are essential to monitor coastline retreat and update shoreline maps. Here, we present a flexible mathematical morphology-driven approach for shoreline extraction algorithm from satellite imageries. The salient features of this work are the preservation of actual size and shape of the shorelines, run-time structuring element definition, semi-automation, faster processing, and single band adaptability. The proposed approach is tested with various sensor-driven images with low to high resolutions. Accuracy of the developed methodology has been assessed with manually prepared ground truths of the study area and compared with an existing shoreline classification approach. The proposed approach is found successful in shoreline extraction from the wide variety of satellite images based on the results drawn from visual and quantitative assessments. © 2017 Wuhan University. Published by Informa UK Limited, trading as Taylor & Francis Group.
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    Parametric studies on bending stiffness and damping ratio of Sandwich structures
    (Elsevier B.V., 2018) Rajpal, R.; Lijesh, L.; Gangadharan, K.V.
    Sandwich structures are extensively used in aviation industries to reduce the overall weight of the system. Although the mechanical behavior of these structures has been widely studied, the performance of core shape in vibration response has been minimally explored. This study focuses on understanding the various influences of sandwich structures considering the following parameters: (i) nature of core shape, (ii) number of infill shapes, and (iii) orientation of cores, which affect the dynamic behavior of sandwich structures. Nine sandwich structures comprising three different core shapes, hexagon, triangle, and square shapes, in three different orientations, namely 0° 45° and 90° were considered for the present study. These structures in the beginning were put by modal analysis using finite element method (FEM). All the nine structures were printed using the fused deposition method to validate the FEM findings, while the DEWE soft data acquisition system was used to estimate the modal parameters (i) natural frequency and (ii) damping ratio. Natural frequency and damping ratio were estimated using FRF and Nyquist circle plot, respectively. This study demonstrates that although the square core orientated at 0° exhibited superior stiffness in bending loads, the hexagonal core orientated at 0° displayed an admirable combination of both stiffness and damping properties. © 2018 Elsevier B.V.
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    Effect of process parameters in face milling operation and analysis of cutting force using indirect method
    (Taylor and Francis Inc. 325 Chestnut St, Suite 800 Philadelphia PA 19106, 2018) Malghan, R.L.; Karthik, K.M.C.; Shettigar, S.; Rao, S.S.; D’Souza, R.J.
    Amelioration of demand for quality in machining-related products has resulted in the manufacturing industries as cornerstone for enhancement in quality control measures of the machining process. Milling, like any metal cutting operation, is used with an objective of optimizing surface roughness. Meticulous prediction of surface quality of a particular material during face milling operation is highly important for the purpose of controlling product quality and production rate. The machining characteristics of AA6061 using face milling were investigated. To calculate the cutting force through indirect approach, during machining the data acquisition was performed using a FANUC LAN cable. The data related to the current drawn by each axis were captured under two varying cases, one “With Cut” and another “Without Cut.” The experimental plan was executed by adopting the Taguchi approach to minimize experimental cost. The results attained through analysis of variance signify that the projected mathematical model can efficiently illustrate the performance in the boundary limit of the premeditated factors. © 2017 Taylor & Francis.
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    A Study on Elastic Deformation Behavior of Steel Fiber-Reinforced Concrete for Pavements
    (Springer, 2019) Chandrashekar, A.; Palankar, N.; Durga Prashanth, L.; Mithun, B.M.; Ravi Shankar, A.U.
    The present study discusses the experimental investigation of steel fiber-reinforced concrete slabs on ground under wheel load with the objective of understanding the stress behavior when subjected to central and edge wheel loading. The steel fiber-reinforced fly ash concrete slabs of 900 mm × 900 mm, 150 mm thickness were investigated in this study. Strain gauges and data acquisition system were used to measure the strains at the center and the edge of the slab under the action of the load. The load versus strain relationship under central and edge loading for reference concrete and steel fiber fly ash concrete showed a linear variation even up to the pressure of 2.5 MPa, which is much beyond the conventional tyre inflation pressure of 0.8 MPa. The load versus strain graphs clearly signify the higher modulus of elasticity of fly ash steel fiber-reinforced concrete. The stresses were calculated using IITRIGID software and ANSYS software and were found matching significantly. The value of modulus of elasticity of fly ash steel fiber-reinforced concrete (FS) using ANSYS model for experimental values of load and strains measured was approximated to 34,000 N/mm2 and was found to closely match with the experimentally obtained modulus of elasticity. No significant effect of Poisson’s ratio of concrete on load–strain characteristics was observed within the range 0.15–0.2 of concrete. © 2019, The Institution of Engineers (India).
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    Trust Based Data Gathering in Wireless Sensor Network
    (Springer New York LLC barbara.b.bertram@gsk.com, 2019) Karthik, N.; Ananthanarayana, V.S.
    Wireless sensor nodes have been successfully employed in various pervasive applications. In all pervasive applications, a gathering of sensor data from the environment is the main operation held in a sensor network, where sink node or base station gathers all generated data to do data analysis and decision making. The data generated by the sensor node in the pervasive environment should be transmitted to the sink node for data analysis and decision making. We strongly conceive that each process from perceiving the environment to decision making, demands trust based process to ease and ensure the trustworthy data exchange among trustworthy nodes such as trust-based data collection, trust-based data aggregation, trust-based data reconstruction and trust-based data analysis for decision making. In this work, we propose a Trust-based Data Gathering which focus on trust-based data collection, data aggregation, and data reconstruction to show that the absence of trust in a sensor-driven pervasive environment could affect the normal functionality of an application. Experimental results show that the proposed method achieves better performance in detecting data faults, malicious nodes and demonstrates that the absence of trust based process in data collection, data aggregation, and data reconstruction in harsh environment consumes more energy and delay for handling untrustworthy data, untrustworthy node and affects the normal functionality of the application. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
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    Estimation of Rock Strength Properties Using Selected Mechanical Parameters Obtained During the Rotary Drilling
    (Springer, 2019) Lakshminarayana, C.R.; Tripathi, A.K.; Pal, S.K.
    During the preliminary stage of rock engineering projects, the estimation of mechanical properties of rocks is most often required. The requirement of a large number of high-quality rock core samples is the major drawback when the mechanical rock properties are to be determined in a well-established rock mechanics laboratory. In this study, an attempt is made to estimate the uniaxial compressive strength and Brazilian tensile strength of sedimentary rocks using the selected mechanical drilling operating parameters obtained during the rotary drilling. The operating measured parameters such as the weight on bit or thrust and the vibration frequency induced at machine or drill head were acquired using the drill tool dynamometer and sound/vibration data acquisition system, respectively. The mathematical models were developed considering the drilling operational parameters (drill bit diameter, drill bit speed and penetration rate) and measured mechanical parameters (thrust and vibration frequency). The prediction potential of the developed models was assessed by the prediction performance indices. The outcome results revealed that the developed mathematical model using the approached method is significant and can be conveniently used for the estimation of mechanical properties of rocks during the rotary drilling. © 2019, The Institution of Engineers (India).
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    A novel chaotic modulation approach of packaged antenna for secured wireless medical sensor network in E-healthcare applications
    (John Wiley and Sons Inc. P.O.Box 18667 Newark NJ 07191-8667, 2020) Jayawickrama, C.; Kumar, S.; Chakrabartty, S.; Song, H.
    This article first time reports the chaotic modulation approach toward RF signal processing for secured wireless medical sensor network (WMSN) in E-healthcare applications. A Lorenz based chaotic modulation approach is implemented which provides lowest bit error rate (BER). The definite analytical expressions for BER in a differential chaos-shift keying (DCSK) modulation scheme is derived and it predicted good correlation between simulated and theoretical. It is observed that proposed Lorenz chaos-based DCSK modulation scheme is a potential candidate to provide high security in the patient data for WMSN. An off-body UWB slotted antenna is designed which could avoid limitation of short-range distance like implanted ones. The entire work includes numerical, simulated and experimental data in three phases. In first phase, Lorenz chaotic oscillator with electronics compatibility is executed which acts as data acquisition unit and demonstrates two-dimensional and three-dimensional chaos attractors. While in the second phase, analysis of BER achieves value of less than 10?4 by providing pseudorandom bit sequence at 5 Gb/s. A chaos modulated envelope using Lorenz based DCSK modulation is obtained by delay element ?. Finally, the third phase is designed on-wafer off-body antenna and demonstrates 3.1 to 10.6 GHz UWB toward RF signal processing in E-healthcare applications. © 2019 Wiley Periodicals, Inc.
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    Experimental studies on cyclic variations in a single cylinder diesel engine fuelled with raw biogas by dual mode of operation
    (Elsevier Ltd, 2020) Jagadish, C.; Gumtapure, V.
    In this research work, cycle-by-cycle variations of a single cylinder, diesel engine operated with raw biogas is investigated. The biogas used to run the engine is obtained from food waste and as the composition of 88.10%-CH4 + 11.895%-CO2. To study the combustion characteristics, the naturally aspirated diesel engine is converted into dual mode by inducting the biogas into the intake manifold for different proportions from BG20 to BG60 with a step of 10% is mixed with air (i.e. BG60-60% of biogas by mass) respectively. Combustion parameters are measured and recorded by the means of the data acquisition system (DAQ) for 100 combustion cycle. By determining the parameters such as standard deviation, coefficient of variation and return map, the cycle variability is analyzed. From the experimental result, it is observed that as the engine is operated at higher loads and as the biogas is increased from BG20 to BG60 the cyclic variations for maximum cylinder pressure (Pmax) and indicated mean effective pressure (IMEP) increases. Coefficient of variation of Pmax for BG20 and BG40 is lower by 2.3% and 11.98% as compared to diesel. From time return map, BG40 showed good combustion stability and lesser NOx emission compared to diesel. © 2020 Elsevier Ltd