Raghu Engineering College

Vishākhapatnam, India

Raghu Engineering College

Vishākhapatnam, India
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Prasad D.S.,Gandhi Institute of Technology and Management | Shoba C.,Gandhi Institute of Technology and Management | Varma K.R.,Raghu Engineering College
Engineering Science and Technology, an International Journal | Year: 2015

With the advancement of composite technology, the selection of proper reinforcement in the matrix becomes vital, especially to enhance the damping capacity in metal matrix composites. The overall damping capacity of the composites greatly depends on the reinforcement used and is proportional to the individual damping capacities of the reinforcement. This paper is concerned with the measurement of damping behavior in elemental rice husk ash (RHA), fly ash (FA), silicon carbide (SiC) and graphite (Gr) powders. The damping measurements were carried on dynamic mechanical analyzer (DMA) at different frequencies of 0.1, 1 and 10 Hz over a continuous heating temperature from room temperature to 150 °C. The storage modulus and damping capacity were analyzed. The related mechanisms were discussed and presented. © 2015 Karabuk University

Veerabhadraiah S.,Raghu Engineering College | Rao M.P.,Andhra University
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

An application of Adaptive Filters (AF) in Desired Signal Extraction (DSE) embedded in Unknown Dynamic System (UDS) is explored in the current research. Least Mean Square Algorithm (LmSA) is utilized in proposed DSE. The UDS is synthesized by adopting Pseudo Random Binary Sequence (PrBS) excitation. To start with the LMSA is educated to converge and adapt its coefficients to the prevailing PRBS signal. These coefficients are subsequently utilized in DSE already embedded in the random noise. Carried out simulation studies by software implementation using 'C' language with different filter orders, step sizes and arrived at an optimum solution in respect of different synthesized signals. Computational complexities associated with Weiner filter for simulation applications are also included in this paper. The results obtained during simulation for different filter orders are tabulated and also depicted pictorially. The LMSA implementation methodology is shown in a block diagram as well explained in terms of a flow chart. Finally the LMSA is implemented in realistic environment and the desired signal extracted is also depicted pictorially. © 2016 IEEE.

Kinthada M.R.,Raghu Engineering College | Bodda S.,Raghu Engineering College
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

Due to hectic life schedule, people usually tends to forget to take their medicine on time due to forgetfulness. In most rural parts of India most of the people are unable to follow the doctor's prescription, which causes over dosage or wrong dosage due to misunderstanding of doctor's direction. It may cause negative consequences for patients. Sometimes it results to severe impact on their health. This paper presents the design and implementation of 'eMedicare' for those who take medications without continuous professional supervision. Electronic dispensing systems are eHealth drug storage devices that electronically dispense medications in a programmed fashion and track medication use. eMedicare acts as watchdog for medication usage. eMedicare can track the missed medications doses. It notifies the patients through beating an alarm, or through a phone call or updating data on the server. Live data is updated in the server for each dose at the scheduled time with help of Internet of Things (IoT)[3]. Sometimes even after the alarm, if the patients did not take any medicines then it will alert the care takers/ nursing staff through sending messages to server or making phone calls. Caretaker can access the details anywhere using mHealth. © 2016 IEEE.

Umamaheswararao L.,Raghu Engineering College | Ashif M.,Mechanical Engineer
International Journal of Mechanical Engineering and Technology | Year: 2016

The forward backward curved (mixed) Centrifugal fan 630 has been analyzed aerodynamically for compare experimental results with simulation results by using ANSYS FLUENT (Finite Element Analysis Software). The material of the fan impeller was specified as ALUMINIUM. Boundary conditions on the Centrifugal fan-630 are taken from the reference. The flow distribution across the fan is obtained. The maximum static pressure at the inlet is known and the pressure distributions across the blade are obtained accordingly. The obtained results are compared with Experimental results is discussed. In final recommended the design of the centrifugal fan and results are tabulated. It's observed that simulation results are nearer to the experimental results. © IAEME Publication.

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.

Navara B.,Raghu Engineering College | Bodda S.,Raghu Engineering College
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

Embedded vision is the ability of an embedded system to take logical or intelligent decisions based on the images captured and processed by the system. Point-of-care diagnostics provide clinical diagnostic facilities to the patient at the site, thereby reducing time taken for diagnosis and enhancing the quality of treatment. The proposed system enables medical professional to interpret these point-of-care clinical diagnostics and connect the different remote diagnostic sites, so that they can be accessed, monitored, controlled and maintained by a trained medical professional. © 2016 IEEE.

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.

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.

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.

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