Mahendra Engineering College

Mahendra, India

Mahendra Engineering College

Mahendra, India
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Viswanathan N.,Mahendra Engineering College | Paramasivam K.,Bannari Amman Institute of Technology | Somasundaram K.,Amrita University
American Journal of Applied Sciences | Year: 2012

Problem statement: Network on Chip (NoC) is an appropriate candidate to implement interconnections in SoCs. Increase in number of IP blocks in 2D NoC will lead to increase in chip area, global interconnect, length of the communication channel, number of hops transversed by a packet, latency and difficulty in clock distribution. 3D NoC is evolved to overcome the drawbacks of 2D NoC. Topology, switching mechanism and routing algorithm are major area of 3D NoC research. In this study, three topologies (3D-MT, 3D-ST and 3D-RNT) and routing algorithm for 3D NoC are presented. Approach: Experiment is conducted to evaluate the performance of the topologies and routing algorithm. Evaluation parameters are latency, probability and network diameter and energy dissipation. Results: It is demonstrated by a comparison of experimental results analysis that 3D-RNT is a suitable candidate for 3D NoC topology. Conclusion: The performance of the topologies and routing algorithm for 3D NoC is analysed. 3D-MT is not a suitable candidate for 3D NoC, 3D-ST is a suitable candidate provided interlayer communications are frequent and 3D-RNT is a suitable candidate as interlayer communications are limited. © 2012 Science Publications.


Dhavamani C.,Mahendra Engineering College | Alwarsamy T.,DOTE
European Journal of Scientific Research | Year: 2011

Machining of composite materials is an important and current topic in modern researches on manufacturing processes. In this paper study of drilling of Aluminium Silicon Carbide (AlSiC) is investigated. The objective of this research is to study the effect of cutting speed, feed, diameter of cut, machining time on metal removal rate, specific energy, surface roughness, volume fraction and flank wear. This paper attempts to establish a comprehensive mathematical model for correlating the interactive and higher-order influences of various machining parameters using Taguchi method. Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models. In the present work, a multiple regression model is used to represent relationship between input and output variables and a multi-objective optimization method based on a Genetic Algorithm (GA) is used to optimize the process. © EuroJournals Publishing, Inc. 2011.


Dhavamani C.,Mahendra Engineering College | Alwarsamy T.,DOTE
Procedia Engineering | Year: 2012

Aluminium matrix particulate composites arc one of the materials finding wide ranging applications in automobile, aerospace and military industries because of their attractive properties such as high strength to weight ratio, high wear resistance, high temperature stability, etc Though most engineering components aluminium matrix particulate composites arc primarily manufactured in near net shape, machining of Metal matrix composites (MMCs) have joined the group of difficult-to-cut materials because of the inherent abrasiveness of ceramic reinforcements. The main objective of this paper is to study of drilling of Aluminium Silicon Carbide (AlSiC) is investigated. Optimum machining condition for maximizing metal removal rate and minimizing the surface roughness is determined using desirability function approach. The influences of different parameters in machining Al/SiC particulate composite have been analyzed in detail. Aluminium hybrid composites reinforced with Silicon carbide particulates were fabricate by stir casting methods. Different volume fractions of SiC (10, 15 & 20% vol) were used for synthesis. This paper attempts to establish a comprehensive mathematical model for correlating the interactive and higher-order influences of various machining parameters using Taguchi method with an L 27 fractional factorial design were selected for the present experiment to obtain the optimal settings of factors and study their effects on multiple performance characteristics . Analysis of variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models. In the present work, a multiple regression model is used to represent relationship between input and output variables and a multi-objective optimization method based on a Genetic Algorithm (OA) is used to optimize the process. © 2012 Published by Elsevier Ltd.


Parthibavarman M.,Mahendra Engineering College | Renganathan B.,National Institute of Technology Tiruchirappalli | Sastikumar D.,National Institute of Technology Tiruchirappalli
Current Applied Physics | Year: 2013

We have successfully synthesized Co doped SnO2 nanoparticles by a simple microwave irradiation technique. Powder X-ray diffraction results reveal that the SnO2 doped with cobalt concentration from 0 to 5 wt % crystallizes in tetragonal rutile-type structure. The products were annealed at 600°C for 5 h in ambient atmosphere in order to improve crystallinity and structural perfection. Transmission electron microscopy (TEM) studies illustrate that both the undoped and Co doped SnO2 crystallites form in spherical shapes with an average diameter of 30-15 nm, which is in good agreement with the average crystallite sizes calculated by Scherrer's formula. A considerable red shift in the absorbing band edge was observed with increasing of Co content (0-5 wt %) by using UV-Vis diffuse reflectance spectroscopy (DRS). Oxygen-vacancies, tin interstitial and structural defects were analyzed using photoluminescence (PL) spectroscopy. Electron paramagnetic resonance (EPR) spectroscopic studies clearly showed that the Co2+ was incorporated into the SnO2 host lattice. Ethanol gas sensitivity of pure and Co-doped (5 wt %) SnO2 nanoparticles were experimented at ambient temperature using optical fiber based on clad-modified method. By modifying the clad exposure to ethanol vapor, the sensitivities were estimated to be 18 and 30 counts/100 ppm for undoped and Co-doped SnO2 nanoparticles, respectively. These results show that the Co doping into SnO2 enhances its ethanol gas sensitivity significantly. © 2013 Elsevier B.V. All rights reserved.


Bakkialakshmi S.,Annamalai University | Menaka T.,Mahendra Engineering College
International Journal of ChemTech Research | Year: 2012

Addition of β-Cyclodextrin to aqueous solutions of rhodamine B base results in the deaggregation of the dye to its monomer form. This is due to the association of monomeric rhodamine B base to the cyclodextrin. The absorption and emission spectra of the aqueous dye solution have been described. This has also been proved by UV-Vis, FTIR and Scanning Eelectron Microscope (SEM). Ground state (Kg) and excited state (Ke) formation constants have been calculated and reported.


Govindaraju K.M.,Mahendra Engineering College | Gopi D.,Periyar University | Anver Basha K.,C Abdul Hakeem College Melvisharam
Journal of Applied Electrochemistry | Year: 2013

Poly((N-methacryloyloxymethyl)benzotriazole-co-N-vinylpyrrolidone) was synthesized by free radical solution polymerization technique and characterized using Fourier transform infrared spectroscopy and nuclear magnetic resonance spectroscopy. Thermal stability of the synthesized copolymer was analyzed by thermogravimetric analysis and differential thermal analysis. The corrosion performances of low nickel stainless steel specimens coated with different mole ratios of synthesized copolymer were investigated in 1 M H2SO 4 using potentiodynamic polarization, electrochemical impedance method, and chronoamperometric studies. Surface and morphological investigation were also provided in order to characterize the adherence and uniformity of the coatings. Electrochemical corrosion test and surface analysis results were clearly showed that the copolymer-coatings served as a stable host matrix on low nickel stainless steel as environmentally favored good anticorrosive coating. © 2013 Springer Science+Business Media Dordrecht.


Loganayagi T.,Mahendra Engineering College
International Journal of Applied Engineering Research | Year: 2015

This paper addresses problem of denoising the speckle in ultrasound (US) renal images. The speckle noise mimics calculi and affects the diagnosis process; hence it should be eleminated for effective segmentation and detection of calculi. A suitable denoising method is necessary to denoise and enhance the image. There are various types of spatial domain, frequency domain, adaptive, non-adaptive and multi scale filters available for speckle reduction. Evaluation have been done on various existing despeckle filters in terms of the performance metrics such as RMSE, PSNR and SSIM. The edge preservation property of various filters also analyzed. Significant remarks have been found out for this analysis providing valuable information on best despeckle filter. © Research India Publications.


Anand B.,Mahendra Engineering College | Balasubramanian V.,AMET University
E-Journal of Chemistry | Year: 2011

The inhibition efficiency (IE) of an aqueous extract of Allamanda blanchetii (Purple) in controlling corrosion of mild steel which has been evaluated by weight loss method in the absence and presence of corrosion inhibitor at different time intervals at room temperature. The result showed that the corrosion inhibition efficiency of Allamanda blanchetii was found to vary with different time interval and different acid concentrations. Also, it was found that the corrosion inhibition behavior of Allamanda blanchetii is greater in sulphuric acid than citric acid medium. So Allamanda blanchetti can be used as a good inhibitor for preventing mild steel material. The surface analysis study confirms the corrosion of the mild steel and its inhibition by the inhibitor Allamanda blanchetii.


Madheswaran M.,Mahendra Engineering College | Kavitha K.R.,Salem College
Journal of Computational Electronics | Year: 2013

The 3D numerical modeling of nanoscale InGaAs quantum dot is developed and the characteristics of the device are presented. The exact potential and energy profile of the Quantum Dot are computed by obtaining the solution of 3D Poisson and Schrodinger equations using homotopy analysis. The dark current is estimated by considering the Quantum Dot density, applied voltage, length of quantum dot array, number of quantum dot array and temperature. The results obtained show that the dark current is strongly influenced by Quantum Dot density and applied voltage. The developed model is physics based one and overcomes the limitations of the existing analytical models. The model is validated by comparing the results obtained with the existing models. © 2013 Springer Science+Business Media New York.


Dhavamani C.,Mahendra Engineering College | Alwarsamy T.,Directorate of Technical Engineering
International Review of Mechanical Engineering | Year: 2012

Machining of composite materials is an important and current topic in modern researches on manufacturing processes. In this paper study of drilling of Aluminium Silicon Carbide (AlSiC) is investigated. The objective of this research is to study the effect of cutting speed, feed, diameter of cut, machining time on metal removal rate, specific energy, surface roughness, volume fraction and flank wear. This paper attempts to establish a comprehensive mathematical model for correlating the interactive and higher-order influences of various machining parameters using Taguchi method. Analysis of Variance (ANOVA) has been performed to verify the fit and adequacy of the developed mathematical models. In the present work, a multiple regression model is used to represent relationship between input and output variables and a multi-objective optimization method based on a Genetic Algorithm (GA) is used to optimize the process. The tool wear was monitored with a toolmaker's microscope, and wear characterization of some of the representative inserts was carried out using scanning electron microscope/energy dispersive X-ray (SEM-EDX) analysis. © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

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