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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.

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. Source

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. Source

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. Source

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. Source

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. Source

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