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Danawade B.,Gogte Institute of Technology | Malagi R.,Gogte Institute of Technology | Malagi S.,S.G. Balekundri Insti. of Technology
SAE Technical Papers | Year: 2013

Wood structures have played an important role in construction. The strengthening of wooden beams using composite materials is designed to enhance both capacity and as well as flexural stiffness. Composite wood-steel structural members have potential to combine the advantages of ready availability, easy working, and simple joining along with strength and stiffness. The paper presents the results of the work carried out to study and analyze flexural strength properties of rectangular teak wood beam (RTWB), rectangular hollow sectioned thin walled steel tube (RHSTWST), and rectangular teak wood filled in rectangular hollow sectioned thin walled steel tube. A wood filled steel tube (WFT) is developed for the purpose of investigation of flexural properties. Desired flexural properties of teak wood, carbon steel have been obtained experimentally and compared with already researched and presented data. The flexural properties of wood filled thin steel tube (WFT) have been determined theoretically and experimentally. The WFT specimens are modeled in ANSYS and the analysis is done to verify the experimental data. Percentage error of these two methods is well within the acceptable limit. From the work carried out it can be concluded that the stiffness and strength of WFT is more compared to standalone rectangular teak wood beam or Rectangular hollow sectioned thin steel tube. An application for automobile hood is developed using the developed material. The WFT composite shows lower deflection compared to steel. Copyright © 2013 SAE International.

Bapat S.M.,Gogte Institute of Technology | Majali V.S.,Gogte Institute of Technology
International Journal of Energy Research | Year: 2013

Present work analyzes and compares two quintuple effect evaporation units with and without heat recovery devices being employed. It is based on actual operational data of sugar plant. This study is primarily based on exergy analysis. Case A is a quintuple effect evaporation unit without heat recovery devices, while case B is with heat recovery devices. The average exergy efficiency is found to be 70.53% for case A, while it is 86.71% for case B. Highest exergy destruction for case A is in second effect with a value of 1562.20 kW, and for case B, it is for the first effect with a value of 1871.68 kW. Steam economy for case A is 1.99, while for case B, it is 3.46. This is due to high evaporation rates and heat recovery devices being employed for case B. The fifth effect evaporator in case A and first effect evaporator in case B are found to be the least efficient components from exergy point of view. As energy economy is concerned in terms of exhaust steam demand, case B is more attractive than case A. However, in terms of exergy, case B is less sustainable than case A. A parametric study indicated that increase in the exhaust/inlet steam temperature is highly disadvantageous in terms of exergy and quality of the end product. The authors expect that the exergy analyses results would facilitate the designers and professional practioners in the field of sugar engineering in furthering the goal of improving energy systems. © 2012 John Wiley & Sons, Ltd.

Kulkarni D.B.,Gogte Institute of Technology | Udupi G.R.,V D R Institute Of Technology
IEEE Transactions on Power Delivery | Year: 2010

Electrical distribution system suffers from various problems, such as reactive power burden, unbalanced loading, voltage regulation, and harmonic distortion. Though DSTATCOMS are ideal solutions for these systems, they can be costly and have complexity compared to other reactive power compensation solutions. Phasewise-balanced reactive power compensations are required for fast-changing loads needing dynamic power factor correcting devices leading to terminal voltage stabilization. Static var compensators (SVCs) are preferred for these loads due to low cost and simple control strategy. These SVCs, while correcting power factor, inherently create harmonics due to the nonsinusoidal currents caused by the operation of thyristor-controlled reactors. This paper proposes minimizing the harmonics injected into the distribution systems with the operation of TSC-TCR-type SVC used in conjunction with fast-changing loads at the LV distribution level. The fuzzy logic system and ANNare used to solve this nonlinear problem, giving optimum triggering delay angles used to trigger thyristors in TCR. The scheme is attractive and can be used at SVC installations in distribution systems for steady-state reactive power compensation. © 2010 IEEE.

Patil M.S.,Gogte Institute of Technology | Mathew J.,National Institute of Technology Calicut | Rajendrakumar P.K.,National Institute of Technology Calicut | Desai S.,SKF Corporation
International Journal of Mechanical Sciences | Year: 2010

The paper presents an analytical model for predicting the effect of a localized defect on the ball bearing vibrations. In the analytical formulation, the contacts between the ball and the races are considered as non-linear springs. The contact force is calculated using the Hertzian contact deformation theory. A computer program is developed to simulate the defect on the raceways with the results presented in the time domain and frequency domain. The model yields both the frequency and the acceleration of vibration components of the bearing. The effect of the defect size and its location has been investigated. Numerical results for 6305 deep groove ball bearing have been obtained and discussed. The results obtained from the experiments have also been presented. © 2009 Elsevier Ltd. All rights reserved.

Amarnath H.K.,Gogte Institute of Technology | Prabhakaran P.,M. S. University of Baroda
International Journal of Green Energy | Year: 2012

Fossil fuels are the chief contributors to urban air pollution and major source of green house gases and are considered to be the prime cause behind the global climate change. Biofuels are renewable, can supplement fossil fuels, reduce green house gases, and mitigate their adverse effects on the climate resulting from global warming. In the present study, biodiesel produced from karanja oil is evaluated as alternative fuel in a diesel engine. The experiments are conducted on a single-cylinder, four-stroke, direct-injection CI engine and the experimental parameters include the percentage of karanja biodiesel in the blend, engine load, injection pressure, and compression ratio. Comparative measures of brake thermal efficiency, brake-specific fuel consumption, smoke opacity, and HC, CO, and NOX emissions are presented and discussed. Results show that the performance of the engine fuelled with karanja biodiesel and its blends with diesel fuel is generally comparable to that when the engine is fuelled with pure diesel. At higher compression ratios, the engine gives lesser emission and better performance. Genetic algorithm optimization technique was used to optimize the parameters. With respect to maximum efficiency and minimum emissions, the optimum values of load, compression ratio, injection pressure, and blend were 6 kg, 18, 247 bar, and B95, respectively. Copyright © Taylor & Francis Group, LLC.

Shankar S.,KLE University | Udupi V.R.,Gogte Institute of Technology
Procedia Computer Science | Year: 2016

Face recognition has been one of the popular and important parts in Human Computer Interaction (HCI) systems that find tremendous applications, some of which are very critical like access control, surveillance, etc. There are numerous techniques available to process face images and hence, choosing an optimal algorithmic chain is not a straight forward job. The scenario gets much more interesting while implementing face recognition in applications connected to cloud via Internet of Things (IoT) platform. This paper reviews some of the effective face recognition algorithms and proposes an optimized algorithmic chain offering optimal classification accuracy and lower execution time; thereby making it appropriate for IoT related applications targeting human-centric systems. Also, achieving optimum efficiency by selecting appropriate number of features for a given combination of algorithms and the behaviour of algorithms due to partitioning of the images in case of Local Binary Pattern (LBP) is discussed. Results indicate enhanced classification rates with algorithmic fusion by creating chains or process flow of methods. Accuracy of up to 96% was obtained for one of the chains that were designed. Also, it is evident from the results that this chain outperforms some of the well-known state-of-the-art methods. © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Gull K.C.,k-Technology | Angadi A.B.,Gogte Institute of Technology
ACM International Conference Proceeding Series | Year: 2016

Social media is one where everyone can share their views on different aspects. These attitudes or views can be captured and analyzed to afford solution for predefined problems. The mounting need for entity insights and the industrial challenges currently facing the field motivated to come up with a system that helps in knowing the customers opinions on particular aspect with its estimation. The paper introduced a Text Mining predictive modeling algorithm to categorize or classify the test data. This paper studies a Bayesian modeling approach for multiclass sentiment classification. With the help of Dimensionality reduction technique and a classifier model, trained data is tested on different sample sets. We tested the classifier against a 70-30 split of training and test data sets with different threshold values. Cross validation methods are used to calculate the accuracy of the classifier. This value is also compared with accuracies obtained for the same data sets and different threshold values. The empirical results show the efficiency of the proposed approach. The paper helps organizations to assess the campaign's triumph or study how to adjust for greater deed that can have an undeviating bang on returns and competitor offerings. © 2016 ACM.

Bekinal S.I.,Gogte Institute of Technology | Anil T.R.,Gogte Institute of Technology | Jana S.,National Aerospace Laboratories, Bangalore
Progress In Electromagnetics Research B | Year: 2013

With an increase in the number of high speed applications, researchers have been concentrating on permanent magnet bearings due to their suitability. This paper presents a mathematical model of a permanent magnet bearing made of ring magnets with radial polarizations. Coulombian model and vector approach are used to estimate the force, moment and stiffness. A MATLAB code is developed for evaluating the envisaged parameters for three degrees (translational) of freedom of the rotor. Comparison of force and stiffness results of the presented model with that reported in the literature and also with the results of 3D finite element analysis shows good agreement. Then, it is extended to analyse stacked ring magnets with alternate radial polarizations. Finally, the cross coupled stiffness values in addition to the principal stiffness values are presented for the elementary structure and also for stacked structure with three ring permanent magnets with alternate radial polarizations.

Bekinal S.I.,Gogte Institute of Technology | Anil T.R.,Gogte Institute of Technology | Jana S.,National Aerospace Laboratories, Bangalore
Progress In Electromagnetics Research B | Year: 2013

This paper presents a simple mathematical model to determine the force, stiffness and moment parameters in Permanent Magnet (PM) bearings made of radial magnetized ring magnets using Coulombian model and vector approach for five degrees of freedom. MATLAB codesare written to evaluate the bearing characteristics for three translational (x, y and z) and two angular (σ and γ) degrees of freedom of the rotor magnet. The results of the mathematical model are compared with the results of Finite Element Analysis (FEA) using ANSYSand experiments for a PM bearing with one ring pair, thereby the presented mathematical model is validated. Furthermore, th PM bearing with three ring pairs with alternate radialpolarizations is analysed by extending the presented mathematical model and also using ANSYS. Finally, the 5×5 stiffness matrix consisting of principal and cross coupled values ispresented for the elementary structure as well as for the stacked structure with three ring pairs.

Joshi D.R.,Gogte Institute of Technology | Joshi D.R.,Basaveshwar Engineering College | Jangamshetti S.H.,Basaveshwar Engineering College
IEEE Transactions on Energy Conversion | Year: 2010

Anovel analyticalmethod is proposed to find the reliability, the average failure rate, and the operation and maintenance costs (OMCs) of wind turbine generator based on the site wind data. The failure rate function is developed using wind turbine failure frequency distribution, published by Renewable Energy Information System on Internet,Germany.The presentedmethodworks computationally fast and does not require large wind data input, which is a requirement of many existing, commercially available simulation methods. The annually increasing OMCs, computed by this method, give better financial assessment of the wind power projects. The method presented is implemented on an Indian wind site. OMCs are obtained for 20 years. Results match the actual field data, for the survey period, barring their warranty period. It is hoped that the proposed method helps financial investors and equity holders for a better financial assessment of the wind power projects at planning stage. © 2009 IEEE.

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