Coimbatore Institute of Technology
Coimbatore, India

The Coimbatore Institute of Technology is Government-aided Autonomous engineering college located in Coimbatore, Tamil Nadu, India. It was founded in 1956 by V.Rangaswamy Naidu Educational Trust with the aim of disseminating knowledge in the fields of science, engineering and technology. It is affiliated to Anna University. The Institute was granted autonomous status in 1987 and is recognized by the AICTE and NAAC. Wikipedia.

Time filter

Source Type

Shanmuga Sundaram N.,PSG College of Technology | Murugan N.,Coimbatore Institute of Technology
Materials and Design | Year: 2010

The heat treatable aluminium alloy AA2024 is used extensively in the aircraft industry because of its high strength to weight ratio and good ductility. The non-heat treatable aluminium alloy AA5083 possesses medium strength and high ductility and used typically in structural applications, marine, and automotive industries. When compared to fusion welding processes, friction stir welding (FSW) process is an emerging solid state joining process which is best suitable for joining these alloys. The friction stir welding parameters such as tool pin profile, tool rotational speed, welding speed, and tool axial force influence the mechanical properties of the FS welded joints significantly. Dissimilar FS welded joints are fabricated using five different tool pin profiles. Central composite design with four parameters, five levels, and 31 runs is used to conduct the experiments and response surface method (RSM) is employed to develop the model. Mathematical regression models are developed to predict the ultimate tensile strength (UTS) and tensile elongation (TE) of the dissimilar friction stir welded joints of aluminium alloys 2024-T6 and 5083-H321, and they are validated. The effects of the above process parameters and tool pin profile on tensile strength and tensile elongation of dissimilar friction stir welded joints are analysed in detail. Joints fabricated using Tapered Hexagon tool pin profile have the highest tensile strength and tensile elongation, whereas the Straight Cylinder tool pin profile have the lowest tensile strength and tensile elongation. The results are useful to have a better understanding of the effects of process parameters, to fabricate the joints with desired tensile properties, and to automate the FS welding process. © 2010 Elsevier Ltd.

Dinaharan I.,Karunya University | Murugan N.,Coimbatore Institute of Technology
Transactions of Nonferrous Metals Society of China (English Edition) | Year: 2012

The dry sliding wear behavior of AA6061/ZrB 2 in-situ composite prepared by the reaction of inorganic salts K 2ZrF 6 and KBF 4 with molten aluminum was investigated. An attempt was made to develop a mathematical model to predict the wear rate of AA6061/(0-10) ZrB 2 in-situ composites. Four-factor, five-level central composite rotatable design was used to minimize the number of experiments. The factors considered are sliding velocity, sliding distance, normal load and mass fraction of ZrB 2 particles. The effect of these factors on the wear rate of the fabricated composite was analyzed and the predicted trends were discussed by observing the wear surface morphologies. The in-situ formed ZrB 2 particles enhance the wear performance of the composite. The wear rate of the composite bears a proportional relationship with the sliding velocity, sliding distance and normal load. © 2012 The Nonferrous Metals Society of China.

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.

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.

Kalaiselvan K.,Coimbatore Institute of Technology | Murugan N.,Coimbatore Institute of Technology | Parameswaran S.,Texas Tech University
Materials and Design | Year: 2011

This work focuses on the fabrication of aluminum (6061-T6) matrix composites (AMCs) reinforced with various weight percentage of B4C particulates by modified stir casting route. The wettability of B4C particles in the matrix has been improved by adding K2TiF6 flux into the melt. The microstructure and mechanical properties of the fabricated AMCs are analyzed. The optical microstructure and scanning electron microscope (SEM) images reveal the homogeneous dispersion of B4C particles in the matrix. The reinforcement dispersion has also been identified with X-ray diffraction (XRD). The mechanical properties like hardness and tensile strength have improved with the increase in weight percentage of B4C particulates in the aluminum matrix. © 2011 Elsevier Ltd.

Gopalakrishnan S.,KS Rangasamy College of Technology | Murugan N.,Coimbatore Institute of Technology
Materials and Design | Year: 2011

The usage of particulate reinforced metal matrix composite (MMC) is steadily increasing due to its properties such as high specific strength, high specific modulus and good wear resistance. Aluminium matrix composite (AMC) plays an important role to meet the above requirements. Effective utilization of AMC is based on not only its production but also on fabrication methods. Among AMCs, those based on particulate reinforcements are particularly attractive, due to their lower production costs. Aluminium matrix titanium carbide reinforced composite (Al-TiCp) was produced in an inert atmosphere by indigenously developed Modified Stir Casting Process with bottom pouring arrangement (3-7% TiC by weight). Friction stir welding process (FSW) is employed to make weld joints. The welding parameters such as axial force, welding speed, tool rotational speed, percentage TiC addition etc., and profile of the tool were considered for analysis. In this study, an attempt is made to predict ultimate tensile strength (UTS) of the welded joints using a mathematical model. The FSW specimens without any post-weld heat treatment belonging to a different set of parameters tested, exhibited a high joint efficiency (most of them ranging from 90% to 98%) with respect to the ultimate tensile strength of the base material AA6061. It was found from the analysis of the model that the tool pin profile and the welding speed have more significant effect on tensile strength. © 2010 Elsevier Ltd.

Thyageswaran S.,Coimbatore Institute of Technology
Applied Thermal Engineering | Year: 2016

An arrangement is proposed for a four-stroke internal combustion engine to: (a) recover thermal energy from products of combustion during the exhaust stroke; (b) store that energy as sensible heat in a micro-channel regenerator matrix; and (c) transfer the stored heat to compressed fresh charge that flows through the regenerator during the succeeding mechanical cycle. An extra moveable piston that can be locked at preferred positions and a sequence of valve events enable the regenerator to lose heat to the working fluid during one interval of time but gain heat from the fluid during another interval of time. This paper examines whether or not this scheme for in-cylinder regeneration (ICR) improves the cycle thermal efficiency ηI. Models for various thermodynamic processes in the cycle and treatments for unsteady compressible flow and heat transfer inside the regenerator are developed. Digital simulations of the cycle are made. Compared to an idealized engine cycle devoid of regeneration, provisions for ICR seem to deteriorate the thermal efficiency. In an 8:1 compression ratio octane engine simulated with an equivalence ratio of 0.75, ηI = 0.455 with regeneration and ηI = 0.491 without. This study shows that previous claims on efficiency gains via ICR, using highly-simplified models, may be misleading. © 2015 Elsevier Ltd. All rights reserved.

Vidya Banu R.,Sri Krishna College of Engineering And Technology | Nagaveni N.,Coimbatore Institute of Technology
Information Sciences | Year: 2013

Data processing techniques and the growth of the internet have resulted in a data explosion. The data that are now available may contain sensitive information that could, if misused, jeopardise the privacy of individuals. In today's web world, the privacy of personal and personal business information is a growing concern for individuals, corporate entities and governments. Preserving personal and sensitive information is critical to the success of today's data mining techniques. Preserving the privacy of data is even more crucial in critical sectors such as defence, health care and finance. Privacy Preserving Data Mining (PPDM) addresses such issues by balancing the preservation of privacy and the utilisation of data. Traditionally, Geometrical Data Transformation Methods (GDTMs) have been widely used for privacy preserving clustering. The drawback of these methods is that geometric transformation functions are invertible, which results in a lower level of privacy protection. In this work, a Principal Component Analysis (PCA)-based technique that preserves the privacy of sensitive information in a multi-party clustering scenario is proposed. The performance of this technique is evaluated further by applying a classical K-means clustering algorithm, as well as a machine learning-based clustering method on synthetic and real world datasets. The accuracy of clustering is computed before and after privacy-preserving transformation. The proposed PCA-based transformation method resulted in superior privacy protection and better performance when compared to the traditional GDTMs. © 2013 Elsevier Inc. All rights reserved.

Gopalakrishnan S.,KS Rangasamy College of Technology | Murugan N.,Coimbatore Institute of Technology
Composites Part B: Engineering | Year: 2012

Metal matrix composite (MMC) focuses primarily on improved specific strength, high temperature and wear resistance application. Aluminium matrix reinforced with titanium carbide (Al-TiC p) has good potential. The main challenge is to produce this composite in a cost effective way to meet the above requirements. In this study Al-TiC p castings with different volume fraction of TiC were produced in an argon atmosphere by an enhanced stir casting method. Specific strength of the composite has increased with higher % of TiC addition. Dry sliding wear behaviour of AMC was analysed with the help of a pin on disc wear and friction monitor. The present analyses reveal the improved specific strength as well as wear resistance. © 2011 Elsevier Ltd. All rights reserved.

Lakshmi K.,KS Rangasamy College of Technology | Vasantharathna S.,Coimbatore Institute of Technology
International Journal of Electrical Power and Energy Systems | Year: 2014

This paper presents an Artificial Immune System approach for solving generation scheduling problem of a Genco comprised of thermal and wind energy systems. Wind-thermal scheduling problem determine the time of instant to start up and shut down the generating units over a scheduled time period, while satisfying the 'system' and 'generator' constraints including minimum up/down time; ramp rate limits of thermal units and wind power constraints. In this work, the impact of wind energy on short term generation scheduling problem is analyzed through the adaptive search which is inspired from the Artificial Immune System. The effectiveness of the proposed approach is demonstrated through a Genco consists of 10 thermal units with 2 wind farms and the results for the near optimal schedule are discussed. © 2013 Elsevier Ltd. All rights reserved.

Loading Coimbatore Institute of Technology collaborators
Loading Coimbatore Institute of Technology collaborators