2. Conference Papers
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Item Assessment of circularity error in drilling of cenosphere reinforced epoxy composites(2019) Angadi S.B.; Gaitonde V.N.; Doddamani M.; Karnik S.R.In automobiles, aircrafts and under water vehicles structural applications syntactic foams are widely used due to their superior specific mechanical properties and offered light weightiness. Fly ash cenosphere embedded epoxy resin forms one such syntactic foam addressing environmental concerns. In the present work mathematical models based on full factorial design are proposed using response surface methodology to study the effect of speed, drill dia., feed and % of cenosphere content on error in circularity of the drilled hole by tungsten carbide twist drill. Experimental studies reveal that error in circularity is mainly governed by drilling speed and drill diameter. Further higher cenosphere loading plays a crucial role in minimizing error in circularity. © 2019 Author(s).Item Assessment of Burn Severity using Different Fire Indices: A Case Study of Bandipur National Park(2019) Konkathi P.; Shetty A.Forest fires are the significant catastrophic events which affect the landscape and vegetation in forested lands. They cause loss of biodiversity, land degradation & ecological imbalance. As the forest fires cause high damage to the habitat, it is of utmost necessity to assess the impact of fire. Burn severity mapping contributes to the evaluation of fire severity and extent of burnt areas. In this article, recently occurred forest fire (21st to 25th February 2019) in Bandipur national park was assessed using remote sensing techniques for mapping burnt area and burn severity as on-site estimations are highly impossible during forest fires. Three established fire severity indices differenced normalized burn ratio (dNBR), relativized burn ratio (RBR) and relativized dNBR (RdNBR) are assessed and compared based on number of active fire points provided by MODIS & VIIRS. The RdNBR resulted in an accuracy of 89.14% whereas RBR and dNBR produced an efficiency of 52.48% and 60.633% respectively. The burnt area under high severity was around 4099 hectares. Post-fire assessment is an essential element for finding the effects of fire on vegetation and implementing mitigation strategies. © 2019 IEEE.Item Application of Lattice Boltzmann Method for fluid flow modelling of FSLDR domain(2019) Bhatt T.; Arumuga Perumal D.In this work Lattice Boltzmann method is used to solve the Four Sided lid-driven rectangular cavity flow (FSLDR) problem. The fluid is considered as incompressible. In the present problem all the four walls moves with a constant velocity. The left wall moves in positive y-direction, the right wall moves in negative y-direction. The top wall moves in positive x-direction and the bottom wall moves in negative x-direction. The aspect ratio of the cavity taken is 0.50. The present code is validated for single lid-driven cavity flow problem. Next, the study is extended to FSLSR problem. The position of vortex obtained are studied at Reynolds number Re=50, 100, 500, 1000. In addition to the primary vortex, two secondary vortices are also obtained. Thus, the present study shows that Lattice Boltzmann Method can be used to capture the details of vortex dynamics © 2019 Elsevier Ltd.Item Analysis and design of inclined buckle arrestors for offshore pipeline(2019) Ramachandra Rao N.; Kaliveeran V.Present research work focuses on improving buckling strength of offshore pipelines by strengthening them with inclined stiffeners and inclined stiffeners with connecting rods. Eigenvalue buckling analysis was carried out using Finite Element Methods to find the buckling strength of the considered pipeline models. Seamless stainless steel pipe models of SS304 grade were considered for finite element analysis. The pipeline models were provided with inclined stiffeners whose angle of inclination varies from 100° to 176°. Connecting rods of different lengths is used to improve capacity of inclined stiffeners. In this paper, the effect of inclined stiffener configurations in improving the strength of offshore pipelines against buckling is presented. The finite element analysis results show that a pipeline strengthened with inclined stiffeners and inclined stiffeners with connecting rod showed improved buckling load carrying capacity. © 2019 Elsevier Ltd. All rights reserved.Item A comparative study on cooling performance of hot oil and molten salt media for industrial heat treatment(2019) Rao P.K.M.; Prabhu N.K.The present work presents a comprehensive comparative study on the cooling performance of hot oil and molten KNO3-NaNO2-NaNO3 eutectic mixture quench media. The study was conducted using a cylindrical Inconel probe of 16φ and 60mm length. Cooling curves at different locations in the probe were acquired using thermocouples-DAQ system. The temperature data was recorded in PC and was subsequently used to calculate spatially dependent transient heat flux at the metal quenchant interface. The heat extraction mechanism in hot oil and NaNO2 eutectic mixture was different. Quench heat transfer occurred in two stages namely boiling stage and convective cooling stage during quenching in molten NaNO2 eutectic mixture. In the case of hot oil, apart from these two stages, third stage of cooling namely vapor blanket stage was observed. A detailed study was conducted to compare magnitude and uniformity of heat extraction during each stage of quenching. Molten salt offered higher cooling rate and more spatial uniform cooling as compared to hot oil quench media. The non-uniformity in surface temperature during boiling stage in Inconel probe was 10 times lower in molten salt medium as compared to that observed in hot oil medium. However, the non-uniformity in surface temperature during convective cooling stage in both the media were comparable. Based on the distribution of characteristic cooling time (t85) calculated in quenched Inconel probe, higher and uniform hardness distribution is predicted in steel parts quenched in molten NaNO2 eutectic mixture media as compared. Copyright © 2019 ASM International® All rights reserved.Item An investigation on effects of wire-EDT machining parameters on surface roughness of INCONEL 718(2019) Naik G.M.; Anjan B.N.; Badiger R.I.; Bellubbi S.; Kumar Mishra D.This paper studied the effects of machining parameters on surface roughness of wire EDT of INCONEL 718 super alloy. The investigated machining parameters were rotational speed, pulse-on time, pulse-off time, servo voltage, wire feed rate and flushing pressure. Analysis of variance (ANOVA) technique was used to find out the most significant parameters affecting the surface roughness. Results from ANOVA show that pulse-on time is significant variables to surface roughness of wire-EDT INCONEL 718 alloy. The surface roughness of the test specimen increased as these variables increased. Lastly, regression model was developed using a regression method to formulate the machining parameters to the surface roughness. The developed model was validated with an optimal setting parameters and the maximum prediction error of the model was less than 8%. © 2019 Elsevier Ltd.Item Word Sense Disambiguation using Bidirectional LSTM(2019) Rakshith J.; Savasere S.; Ramachandran A.; Akhila P.; Koolagudi S.G.Word Sense Disambiguation is considered one of the challenging problems in natural language processing(NLP). LSTM-based Word Sense Disambiguation techniques have been shown effective through experiments. Models have been proposed before that employed LSTM to achieve state-of-the-art results. This paper presents an implementation and analysis of a Bidirectional LSTM model using openly available datasets (Semcor, MASC, SensEval-2 and SensEval-3) and knowledge base (WordNet). Our experiments showed that a similar state of the art results could be obtained with much less data or without external resources like knowledge graphs and parts of speech tagging. © 2019 IEEE.Item An experiment investigation on physical and mechanical properties of high strength concrete with suitable admixture(2019) Gayana B.C.; Shashanka M.; Rao A.N.; Ram Chandar K.Concrete is an essential construction material. Even-though conventional concrete performs and satisfy the structures under normal conditions, a few special situations require very high compressive strength of concrete. An experimental investigation is done to develop high strength concrete with suitable admixtures and steel fibers. The properties of fresh and hardened concrete with alccofine as partial replacement for binder and poly-carboxylate ether (Glenium 8233) and steel fibers is investigated for the workability and mechanical properties i.e., compressive, splitting tensile and flexural strength of concrete. Based on the results, the strength increased with the addition of alccofine compared to the control mix. Hence, by optimum percentage of alccofine, high strength of concrete of 112 MPa can be obtained. © 2019 Trans Tech Publications Ltd, Switzerland.Item VoteChain: A Blockchain Based E-Voting System(2019) Pandey A.; Bhasi M.; Chandrasekaran K.In the past, electronic voting systems have not seen widespread adoption due to data privacy concerns. Previously proposed e-voting systems make use of a central database to store data, resulting in the servers used to store these databases being a single point of failure. These systems have also been found to be vulnerable to DoS attacks, leading to concerns over their reliability.Blockchains have been used to build secure and scalable distributed systems which have shown several benefits over centralized systems. They have seen uses in sectors ranging from finance and healthcare to food and energy.In this paper, we present VoteChain, a blockchain based voting system to help bring transparency and security to polls. We report on our implementation of VoteChain, as well as the results obtained in testing the system in a real-world poll which prove that such a system can be used in practice for large-scale elections. © 2019 IEEE.Item A comparative study of stanley, lqr and mpc controllers for path tracking application (adas/ad)(2019) Vivek K.V.; Sheta M.A.; Gumtapure V.This paper presents comparative study between Stanley, LQR (Linear Quadratic Regulator) and MPC (Model Predictive Controller) controllers for path tracking application, which is a level 4 automation feature under ADAS/AD (Advanced Driver Assistance System/Autonomous Driving). The accuracy associated with all the controllers are compared by making the vehicle model run in a prescribed environment. The initial designs are done in MATLAB environment and later they are interfaced with IPG CarMaker vehicle simulation tool for fine tuning. Stanley controller is more of an intuitive steering control law where as LQR and MPC are more advanced optimal controllers. The control actions are calculated by optimising the states of the model. Kinematic vehicle model is used with states as errors and a comparator design is made to find the deviation of the vehicle from the prescribed path. The paper gives a detailed idea about the controllers regarding its use, advantages and limitations in this application. © 2019 IEEE.