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Mohan Raj A.P.,The Rajaas Engineering College | Selvakumar N.,Mepco Schlenk Engineering College, Sivakasi | Narayanasamy R.,National Institute of Technology Tiruchirappalli | Kailasanathan C.,Sethu Institute of Technology
Materials and Design | Year: 2013

An experimental investigation on the workability and strain hardening behaviour of iron-carbon-manganese (Fe-C-0.50Mn) Powder metallurgy (P/M) steel composite sintered preforms under triaxial stress state has been carried out. Cold upset forming of the above composite preforms was conducted with variation in carbon content (0.10% and 0.25%) and manganese content (0.50% and 1.05%) with an aspect ratio 0.45. The powders were collected on weight basis and then gradually compacted up to 1.2. GPa pressure and then sintered at 950 ± 5. °C to form composite preforms. Sintered preforms were cold deformed with uniform incremental loading. The effect of different percentage of carbon and manganese on the iron-based P/M composite was investigated thoroughly in the cold deformation experiment. Comparison between the effect of carbon and manganese on the workability and strain hardening behaviour of the composites was analysed and presented. The analysis of the experimental results has shown that the P/M steel which contains 0.10% carbon and 0.50% manganese exhibited greater values of stresses, initial relative density, strain hardening and workability parameters. © 2013 Elsevier Ltd. Source

Anna Palagan C.,The Rajaas Engineering College
International Journal of Applied Engineering Research | Year: 2015

We propose a novel algorithm by taking the speech from two microphones and separate that speech by means of separation of speech mixtures which is based on separation matrices. In multi- talker applications in order to enhance individual speech sources from their mixtures is done by Blind Source Separation (BSS) methods. The main disadvantage in the previous works related to this separation of speech signals is the occurrence of distortion present in the signal which affects separated signal with loud musical noise. The assumption for speech separation in conventional BSS methods is only one sound source in a room. The proposed method uses a network which has the parameters of the IMAR model for the separation matrices over the entire frequency range. We estimate the ideal values of the IMAR model parameters, ΦW and ΦG by means of the maximum-likelihood estimation method. Once we estimate these parameter values, the source spectral component vectors can be estimated. The complete set of TIMIT corpus is used for speech materials in evolution results. The Signal to Interference Ratio (SIR) improves by an average of about 6 dB over a frequency domain BSS approach. © Research India Publications. Source

Bensam Raj J.,The Rajaas Engineering College | Marimuthu P.,Syed Ammal Engineering College | Marimuthu P.,Anna University | Prabhakar M.,National University of Singapore | Anandakrishnan V.,National Institute of Technology Tiruchirappalli
International Review of Mechanical Engineering | Year: 2014

The aim of the present investigation has used to predict the stress formability index and the pore closure behavior of the sintered Al-SiC composites. Aluminium composite powder reinforced by silicon carbide containing 10% and 20% SiC. Three different sintering time intervals were proposed namely 1.5, 3 and 4.5 hrs at 605°C were completely investigated. The effect of SiC addition on the formability stress index value was studied. For higher SiC addition preforms the formability stress index reaches very high value. With increasing sintering time the formability stress index increases due to a decrease pore. It was enlightened to obtain a pore closure verification three novel stress based pore closure rate indices were proposed and analysed for all the above said preforms and their variations with respect to their relative density were plotted and discussed. The Formability stress index value were evaluated and discussed in terms of matrix and geometric work hardenings. © 2014 Praise Worthy Prize S.r.l. - All rights reserved. Source

Bibin C.,The Rajaas Engineering College | Seenikannan P.,Sethu Institute of Technology
Advanced Materials Research | Year: 2013

For many decades all major conservation bodies have realized the need to conserve our valuable fuel and power sources. The increased level of consumption of fuel and power results in carbon-di-oxide emissions to environment which results in the depletion of ozone layer leading to global warming. As a result, many ways of utilizing renewable fuel and power sources are developing with solar energy and waste heat recovery applications. Most of the process and industries have large capacity Diesel Generating (DG) set. The exhaust gas of such a DG set carries a lot of heat and it goes waste if it is not utilized properly. Energy recovery from engine exhaust is one of the energy saving methods in engines. By using energy recovery techniques, waste heat energy can be saved, emissions can be reduced and thermal efficiency of the engine is increased. This paper discusses about the exhaust gas energy recovery from engine exhaust using Rankine cycle and thermodynamic properties of the working fluids. The heat energy recovered from the engine exhaust can be utilized for various sources. © (2013) Trans Tech Publications, Switzerland. Source

Senthil Kumar P.,The Rajaas Engineering College | Manisekar K.,Center for Manufacturing science
Indian Journal of Engineering and Materials Sciences | Year: 2014

The present investigation aims to develop MoS2 added, self lubricated copper-tin hybrid composite with different weight fractions of MoS2 and characterize tribological properties. In order to evaluate the behavior of composites satisfying multiple performance measures, Taguchi approach has been adopted. An orthogonal array and an analysis of variance are employed to the influence of parameters like as wt% of MoS2, load, sliding speed and sliding distance on dry sliding wear of the composites. Results show that sliding distance has the highest influence followed by a load and reinforcement. Confirmation tests are carried out to verify the experimental results. The morphology of the worn-out surfaces is examined to understand the wear mechanisms. The responses have been predicted using both Artificial Neural Network (ANN) and Taguchi method so that a comparative evaluation can be made. From this study, it is concluded that neural network predicts the responses more accurately than Taguchi prediction. © 2014, National Institute of Science Communication and Information Resources (NISCAIR). All rights received. Source

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