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Raj Kumar S.M.,Erode Builder Educational Trusts Group of Institutions | Malayalamurthi R.,Government of Tamilnadu
Powder Technology | Year: 2014

A novel mechanism for automatic sizing of sago granules is presented in this paper with analytical and experimental studies. This automation method would help to overcome the difficulties faced in the conventional labor which is the intensive process of sago sizing. This paper mainly discusses the data required to define the particle trajectory and behavioral movement in shaping the sago granules. Mathematical models are prepared and experimental studies are performed for the instant at which the flight of particles will occur due to centrifugal flee force and for the trajectory of the particle dynamics for various rotational speeds of the bowl and inclined rod that is coupled to the bowl. The prepared range of inclination angle of the rod is 60° to 64° with the horizontal plane. The maximum flight velocity of particle with a maximum height for models and experiments is 9.81. m/s for the height of 46.43. mm and 9.8. m/s for the height of 43.12. mm. The total residence time of the particle inside the bowl diameter of 200. mm and height 50. mm is also determined numerically as 6. min 43. s and experimentally as 7. min 15. s for the initial radial position of the particle of 20. mm from the axis of rotation of the bowl. The results of analytical models are compared and validated with the experimental results and the analytical results coincide with experimental results with negligible amount of error. © 2014 Elsevier B.V.


Saravanan S.,Erode Builder Educational Trusts Group Of Institutions
International Journal of Applied Engineering Research | Year: 2014

The Switched Reluctance Motor (SRM) is a type of a stepper motor which is an electric motor run by reluctance torque. Unlike common Direct Current motor types, power is delivered to windings in the stator (case) rather than the rotor. This simplifies mechanical design as power does not have to be delivered to a moving part which complicates the electrical design as some sort of switching system needs to be used to deliver power to the different windings. With existing electronic devices this is not a problem, and the SRM is a famous design among the modern motors. Its main drawback is torque ripple. This paper, deals with a control strategy for SRM drive based on angle position control using fuzzy logic concept. The input control parameters, the observed output parameter along with fuzzy control formulation strategy are elaborated and simulated. © Research India Publications.


Kumar B.A.,Erode Builder Educational Trusts Group of Institutions | Murugan N.,Coimbatore Institute of Technology
Transactions of Nonferrous Metals Society of China (English Edition) | Year: 2014

The dry sliding wear behavior of AA6061 matrix composite reinforced with aluminium nitride particles (AlN) produced by stir casting process was investigated. A regression model was developed to predict the wear rate of the prepared composite. A four-factor, five-level central composite rotatable design matrix was used to minimize the number of experimental runs. The factors considered in this study were sliding velocity, sliding distance, normal load and mass fraction of AlN reinforcement in the matrix. The developed regression model was validated by statistical software SYSTAT 12 and statistical tools such as analysis of variance (ANOVA) and student's t test. It was found that the developed regression model could be effectively used to predict the wear rate at 95% confidence level. The influence of these factors on wear rate of AA6061/AlNp composite was analyzed using the developed regression model and predicted trends were discussed with the aid of worn surface morphologies. The regression model indicated that the wear rate of cast AA6061/AlNp composite decreased with an increase in the mass fraction of AlN and increased with an increase of the sliding velocity, sliding distance and normal load acting on the composite specimen. © 2014 The Nonferrous Metals Society of China.


Pugalendhi G.,Kyungpook National University | Vijayakumar A.,Erode Builder Educational Trusts Group of Institutions | Kim K.-J.,Kyungpook National University
International Journal of Data Mining and Bioinformatics | Year: 2016

Knowledge gained through classification of microarray gene expression data is increasingly important as they are useful for phenotype classification of diseases. In this paper we propose a rule-based approach called 'Large Coverage Rule' for microarray data classification. The proposed approach is a parameter-free data-driven approach that constructs decision rule based on the expression values of a gene. A simple Rank-Based Scoring algorithm is proposed for selecting informative genes. The performance of the proposed approach is evaluated using ten publicly available gene expression data sets. From the simulation result, it is found that the proposed approach generates compact rules and produces comparatively good classification accuracy than the others. Gene ontology based biological semantics is also carried out to analyse the informative genes. Statistical analysis of test result shows that the generated rules are simple to interpret, highly comprehensible and classifies microarray data accurately. Copyright © 2016 Inderscience Enterprises Ltd.


Murugan N.,Coimbatore Institute of Technology | Ashok Kumar B.,Erode Builder Educational Trusts Group of Institutions
Materials and Design | Year: 2013

Over the last two decades, aluminium matrix composites (AMCs) reinforced with particulate form of ceramics have attracted much attention due to their superior mechanical properties. In recent years, friction stir welding (FSW) is largely employed to successfully join the AMCs reinforced with ceramic particulates. An attempt has been made to develop a regression model to predict the ultimate tensile strength (UTS) of the friction stir (FS) welded AA6061 matrix composite reinforced with aluminium nitride particles (AlNp) by incorporating significant parameters such as tool rotational speed, welding speed, axial force and percentage of AlNp reinforcement in the matrix. A four factor, five level central composite rotatable design has been used to minimize the number of experimental runs. The effects of those factors on UTS of the welded joints have been analyzed using the developed regression model. The developed regression model has been validated by statistical software SYSTAT 12 and statistical tools such as analysis of variance (ANOVA) and student's t test. It was found that the model was accurate. The developed regression model can be effectively used to predict the UTS of FS welded joints at 95% confidence level. It was observed from the investigation that factors considered in this study independently influenced the UTS of the FS welded composite joints. © 2013 Elsevier Ltd.


Mukeshkumara P.C.,Anna University | Kumarb J.,Erode Builder Educational Trusts Group of Institutions | Sureshc S.,Indian National Institute of Engineering | Praveen babuc K.,Indian National Institute of Engineering
Journal of Materials and Environmental Science | Year: 2012

In this work, heat transfer coefficients of shell and helically coiled tube heat exchanger using Al2O3 / water nanofluid were studied. This study was done by changing the parallel flow configuration into counter flow configuration under laminar flow regime. The Al2O3 / water nanofluid at 0.4% and 0.8% particle volume concentration were prepared by using two step method. The nanoparticles were characterized by X-Ray diffraction (XRD) and Scanning Electron Microscope (SEM). It is found that the overall heat transfer coefficient of counter flow was 4-8% higher than that of parallel flow at 0.4% nanofluid. The overall heat transfer coefficient was found to be 5-9% higher than that of parallel flow at 0.8% nanofluid. It is studied that there is no considerable effect on heat transfer coefficient on changing flow configuration. This is because of helically coiled tube flow and shell flows are perpendicular direction both in parallel and counter flow configuration. It is also studied the thermal performance of 0.8% nanofluid is higher than 0.4% nanofluid.


Gurusamy K.,Surya Engineering College | Chakrapani V.,Erode Builder Educational Trusts Group of Institutions
Journal of Computer Science | Year: 2012

Recent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from the point of view of securing sensitive data. People have become increasingly unwilling to share their data. This frequently results in individuals either refusing to share their data or providing incorrect data. In turn, such problems in data collection can affect the success of data mining, which relies on sufficient amounts of accurate data in order to produce meaningful results. Based on the analysis of shortcomings of earlier technologies this study proposes a new method for securing numerical and categorical data. In this method the categorical data is converted into Binary form and perturbation based noise is introduced as a security method based on the security level anticipated. Several types of noise addition methods were employed and generalized results were evaluated in terms of misclassification error and privacy level. An average of misclassification error was below 50% for 75-90% security level, which is better than earlier methods which didn't handle categorical data. The results obtained prove that the proposed method outperforms some of the currently existing methods thereby ensuring the possibility of securing sensitive data irrespective of its type being numerical or categorical. © 2012 Science Publications.


Mukesh Kumar P.C.,Anna University | Kumar J.,Erode Builder Educational Trusts Group of Institutions | Suresh S.,Indian National Institute of Engineering
Journal of Mechanical Science and Technology | Year: 2013

In this study, the heat transfer and friction factor of a shell and helically coiled tube heat exchanger using Al2O3 / water nanofluid at 0.1%, 0.4% and 0.8% particle volume concentration were tested. The test was conducted under laminar flow condition at 5100 < Rei < 8700. It is found that the overall heat transfer coefficient, inner heat transfer coefficient and experimental inner Nusselt number are 24%, 25% and 28%, respectively, higher than water at 0.8% particle volume concentration of nanofluid. It is observed that the presence of nanoparticles further intensify the formation of secondary flow and proper mixing of fluid when nanofluid passes through the helically coiled tube. Apart from further flow intensification, higher thermal conductivity of nanofluid and random movement of nanoparticles contribute to the enhanced heat transfer coefficient. Also found that the friction factor increases over particle volume concentration and this is due to increased nanofluid viscosity while increasing particle volume concentration. © 2013 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg.


Ashok Kumar B.,Erode Builder Educational Trusts Group of Institutions | Murugan N.,Coimbatore Institute of Technology
Materials and Design | Year: 2014

Aluminium Matrix Composites (AMCs) reinforced with particulate form of reinforcement has replaced monolithic alloys in many engineering industries due to its superior mechanical properties and tailorable thermal and electrical properties. As aluminium nitride (AlN) has high specific strength, high thermal conductivity, high electrical resistivity, low dielectric constant, low coefficient of thermal expansion and good compatibility with aluminium alloy, Al/AlN composite is extensively used in electronic packaging industries. Joining of AMCs is unavoidable in many engineering applications. Friction Stir Welding (FSW) is one of the most suitable welding process to weld the AMCs reinforced with particulate form of ceramics without deteriorating its superior mechanical properties. An attempt has been made to develop regression models to predict the Ultimate Tensile Strength (UTS) and Percent Elongation (PE) of the friction stir welded AA6061 matrix composite reinforced with aluminium nitride particles (AlNp) by correlating the significant parameters such as tool rotational speed, welding speed, axial force and percentage of AlNp reinforcement in the AA6061 matrix. Statistical software SYSTAT 12 and statistical tools such as analysis of variance (ANOVA) and student's t test, have been used to validate the developed models. It was observed from the investigation that these factors independently influenced the UTS and PE of the friction stir welded composite joints. The developed regression models were optimized to maximize UTS of friction stir welded AA6061/AlNp composite joints. © 2014 Elsevier Ltd.


Ashok Kumar B.,Erode Builder Educational Trusts Group of Institutions | Murugan N.,Coimbatore Institute of Technology
Materials and Design | Year: 2012

An attempt has been made to manufacture aluminium (6061-T6) matrix composites reinforced with aluminium nitride particles (AlNp) of size 3-4μ using indigenously developed modified stir casting method with bottom pouring arrangement in controlled argon environment. To improve the wettability of AlNp with molten Al matrix, 2% Mg has been added. AA6061-AlNp composites have been successfully produced at different weight percentages (viz 0, 5, 10, 15 and 20) of AlNp and their metallurgical and mechanical properties have been analysed. Macrohardness, microhardness, Yield strength and ultimate tensile strength of the composite have improved with the addition of AlNp in the Al matrix. Optical and SEM micrographs reveal the homogeneous distribution of reinforcement particles in the matrix and X-ray diffraction patterns ensure the dispersion of AlNp reinforcement in AA6061 matrix. © 2012 Elsevier Ltd.

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