Raghu Engineering College

Vishākhapatnam, India

Raghu Engineering College

Vishākhapatnam, India

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Ramana Babu S.,Raghu Engineering College | Ramachandra Raju V.,Jawaharlal Nehru Technological University Kakinada | Ramji K.,Andhra University
Journal of Mechanical Science and Technology | Year: 2016

This paper presents an optimal kinetostatic design method for a general 3PRS (Prismatic-revolute-spherical) spatial parallel manipulator by formulating a multi-objective optimization problem considering the performance indices are as the objective functions. Three performance criteria—Global conditioning index (GCI), Global stiffness index (GSI) and workspace volume-were formulated and the effect of actuator layout angle on the performance indices was studied. A multi-objective evolutionary algorithm based on the Control elitist non-dominated sorting genetic algorithm (CENSGA) was adopted to find the final approximation set. The optimal geometric parameters that yield minimal compliance with larger workspace volume and improved dexterity are suggested for a general 3PRS parallel manipulator. For the optimal design, it is shown that global isotropy and global stiffness of the platform is improved at the cost of workspace reduction. © 2016, The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.

Siva Rao I.S.,Raghu Engineering College | Srinivasa Rao T.,Gandhi Institute of Technology and Management
International Journal of Applied Engineering Research | Year: 2016

The heart diseases are the most widespread induce for human dying. Every year, 7.4 million deaths are attributed to heart diseases (cardiac arrhythmia) including 52% of deaths due to strokes and 47% deaths due to coronary heart diseases. Hence identification of different heart diseases in the primary stages becomes important for the protection of cardiac related deaths. The existing conventional ECG analysis methods like, RR interval, Wavelet transform with classification techniques, such as, Support Vector machine K-Nearest Neighbor and Levenberg Marquardt Neural Network are used for detection of cardiac arrhythmia Using these methods large number of features are extracted but it will not identify exactly the problem. Studies conducted in this paper work to carry out these individual optimization techniques which did not give the desired identification accuracy. It is also proposed to modify these techniques as the system is advised based on universal filtering, pulse identification, clustering, categorization of signal with small delay can be done to identify the life threatening arrhythmia. Double differentiation with multi- discrete wavelet transforms which protect time changing QRS complex as well as noise. The proposed multi wavelet transform modeling provides temporal and spectral information coincidental, and extends reach stretch ability with a potential of multi wavelet functions of dissimilar signal properties. The present development implicated with the origin of QRS complexes of ECG signals using a new finite set of algorithms constructed based on ECG Q R S T waveform shaping it is possible to find out whether the person is in normal or abnormal and identification of different diseases with possibility effect, existing standard Pan-Tompkins method and multi wavelet transform techniques evaluated using MATLAB. Then removing discrepant wavelet transform coefficients and denoising is done in ECG signal. In addition to that QRS complex will be detected and each complex will be used to find the peaks of t e individual waves like, P and T, and their derivatives. At the end we are going to generate different disease inputs for the ECG signal by providing the heart beat rate, generate p, r waves. The values can be altered by observing the heart diseases and based on that real time inputs we can build the neural network and check the efficiency of the system. Kurtosis, neural network classification to achieve significant identification accuracy. This paper mainly aims at improving the identification and performance of the system to detect heart disease based on neural network classification. © 2016, Research India Publications.

Vital T.P.,Raghu Engineering College | Raju G.S.V.P.,Andhra University | Sreeramamurthy K.,Sreenidhi Institute of Science and Ttechnology | Charan V.P.V.,Raghu Engineering College
Procedia Computer Science | Year: 2015

Data mining is an important tool to analyze the data for diseased datasets. The data has been collected from North coastal districts of AP, India during 2011 to 2014 with 504 instances and 56 attributes. The methods like Confusion matrix, ROC, Best validation performance, R value, SOM Topology, Hits, SOM Neighbor Connections, Neighbor weight distances and SOM weight positions were analysed using MatLab version 7.6.0 (R2008a) from the collected dataset from north coastal districts of AP, India in the present study. © 2015 The Authors. Published by Elsevier B.V.

Vital T.P.,Raghu Engineering College | Raju G.S.V.P.,Andhra University | Rao I.S.S.,Raghu Engineering College | Kumar A.D.P.,Raghu Engineering College
Procedia Computer Science | Year: 2015

The data collection and understanding provides better understanding of cancer patients in the regions from north coastal districts of AP, India. The present studies were shown more number of breast cancer patients compares to other types of cancer. Most of the questionnaire provided good understanding about cancer patients. There are more number of females (64.3%) compared to males (35.7%). Most of the patients are using mobile phones and mosquito repellents. KStar was shown 100% accuracy with the dataset compared to other tested machine learning algorithms. © 2015 The Authors. Published by Elsevier B.V.

Kaladhar M.,Raghu Engineering College | Subbaiah K.V.,Andhra University | Rao C.S.,Andhra University
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture | Year: 2014

Making real-life decisions regarding selection of optimum parameters in machining of materials, especially when faced with conflicting objectives, is a tough task. Multi-objective methods are usually used to deal with such problems. This article applies grey relational analysis to the multi-responses that were obtained during turning of AISI 304 austenitic stainless steels on a computer numerical control lathe. The experiments were conducted using the Taguchi design of experiments technique. In grey relational theory, a grey relational grade is found such that it indicates an optimum level of machining parameters that produce smaller magnitudes of surface roughness, flank wear, tool vibrations and a higher magnitude of material removal rate. The combination of the following machining parameters produces a better turning performance: speed of 210 m/min, feed rate of 0.15 mm/rev, depth of cut of 1.0 mm and a nose radius of 0.4 mm. The significant factors affecting the overall responses of turning process were evaluated by analysis of variance. Thereafter, optimum values of overall responses were predicted. Finally, a second-order multi-objective model was developed, which relates the machining parameters to the grey relational grade using response surface methodology. © IMechE 2013.

Pullabhatla S.,KKR | Chintakayala P.,Raghu Engineering College
Advances in Intelligent and Soft Computing | Year: 2012

In the present paper power system transient disturbances using Stockwell and Hartley Stockwell transform have been investigated. It is well known that Stockwell transform (ST) is utilized for the real time prediction of the disturbance as it is able to accurately determine the sudden burst in the signal. However, in some cases the frequency resolution of ST is low. Consequently Hartley Stockwell transform (HST) has been proposed which is good in frequency resolution. A comparison has been made with the proposed HST with ST technique. The proposed HST technique has been tested on various transient disturbances to show its efficacy. © 2012 Springer-Verlag GmbH Berlin Heidelberg.

Devaki Rani S.,JNTUH College of Engineering | Murthy G.S.,Raghu Engineering College
Journal of Materials Engineering and Performance | Year: 2013

Lead-free solders are fast emerging as better alternatives to Sn-Pb solders. The reliability of a soldered joint to withstand imposed stresses in an assembly is decided by its mechanical properties. The present work is about the investigation of tensile and shear properties of four binary eutectic alloys Sn-3.5Ag, Sn-58Bi, Sn-0.7Cu, Sn-9Zn and a ternary alloy Sn-57Bi-1.3Zn in comparison with conventional Sn-38Pb alloy. It is observed that the lead-free solders have better mechanical properties than the latter. SEM studies of tensile and shear fracture show ductile dimples circular in tension and parabolic in shear modes supporting the mechanical behavior of the alloys investigated. Eutectic alloys Sn-Ag, Sn-Zn, and Sn-Cu form potential substitutes for Sn-Pb for electronic interconnects exposed to high temperatures, while Sn-Bi and Sn-Bi-Zn are attractive alternatives in addressing the need of lower processing temperatures in printed circuit boards and other applications. © 2013 ASM International.

Tangeti V.S.,Raghu Engineering College | Varma K. R.,Sri Venkateswara University | Siva Prasad G.V.,Raghu Engineering College | Satyanarayana K.V.V.V.,Raghu Engineering College
Synthetic Communications | Year: 2016

An efficient method was developed for the synthesis of dihydrofuran substituted coumarin from a one-pot, four-component reaction of 2-hydroxy aromatic aldehydes, 6-methyl, 4-hydroxy pyranone, aromatic aldehyde, and pyridinium ylide in the presence of tri-ethylamine under microwave irradiation. The reaction proceeds under solvent-free conditions to afford C3-dihydrofuran substituted coumarin in a diastereoselective manner in good yields (71–89%). 2016 Copyright © Taylor & Francis Group, LLC

Kar V.R.,Raghu Engineering College | Panda S.K.,Raghu Engineering College
Journal of Pressure Vessel Technology, Transactions of the ASME | Year: 2016

In this article, the nonlinear bending behavior of functionally graded (FG) curved (cylindrical, hyperbolic, and elliptical) panel is investigated under combined thermomechanical loading. In this study, two temperature fields (uniform and linear) across the thickness of shell panel are considered. The panel model is developed mathematically using higher-order shear deformation midplane kinematics with Green-Lagrange-type nonlinear strains. The individual constituents of functionally graded material (FGM) are assumed to be temperature-dependent (TD) and graded continuously using the powerlaw distribution. The effective material properties of FG shell panel are evaluated based on Voigt's micromechanical model. The governing equation of the panel structure is obtained using the variational principle and discretized through suitable finite-element (FE) steps. A direct iterative method is employed to compute the desired responses of the curved panel structure. The efficacy of the present nonlinear model has been shown by comparing the responses with those available published literature and commercial FE tool ANSYS. Finally, the model has been extended to examine the effect of various parameters (volume fractions, temperature, thickness ratios, curvature ratios, aspect ratios, and support conditions) on the nonlinear bending behavior of curved FG panel by solving wide variety of numerical illustrations. © Copyright 2016 by ASME.

Rao R.K.,Raghu Engineering College | Srinivas P.,Raghu Engineering College | Kranthikumar S.,Raghu Engineering College
2014 International Conference on Smart Electric Grid, ISEG 2014 | Year: 2014

This paper presents the modeling and simulation of electrical water pumping system using solar energy. Now-a-days PV array is increasingly employed for water pumping system. In this paper, the developed boost converter steps up the voltage produced by the PV array to a value which is suitable to run a single-phase induction motor. The inverter converts DC to AC is controlled by using sinusoidal pulse width modulation (SPWM) technique. By using a LC filter the harmonics are eliminated and pure sine wave is obtained which can be directly used to drive a single-phase induction motor and pump system. The Experimental investigation presented gives the utility of such a drive system. A design of directly coupled solar water pumping system powered from photovoltaic panels, DC to DC Boost converter, full bridge sinusoidal pulse width modulation (SPWM) inverter, LC filter, induction motor and centrifugal pump is presented. The PID feedback controller is used to control the voltage. The model was implemented using MATLABI Simulink with SPWM controlled inverter model. © 2014 IEEE.

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