Entity

Time filter

Source Type

Coimbatore, India

Karpagam College of Engineering is an Autonomous institution Affiliated to Anna University,Chennai and Approved by AICTE. It was established in the year 2000 Wikipedia.


Shanmughasundaram P.,Karpagam College of Engineering | Subramanian R.,PSG College of Technology
Advances in Materials Science and Engineering | Year: 2013

Dry sliding wear behaviour of eutectic Al-Si alloy-graphite composites was investigated employing a pin-on-disc wear test rig. Results revealed that the wear and friction coefficients decreased linearly with increasing weight percentage of graphite particles. Wear resistance of the composite increased considerably with increasing sliding velocity at constant load. In contrast, the friction coefficient of Al-7.5 wt.% Gr composite increased when the sliding velocity was increased from 1 m/s to 2 m/s at 49 N. Worn-out surfaces of wear specimens after the test were examined by scanning electron microscopy to study the morphology of worn surfaces. EDS analysis was carried out to investigate the influence of mechanically mixed layer (MML) which comprises oxides and iron, and this acted as an effective tribolayer in enhancing the wear resistance at higher sliding velocity. © 2013 P. Shanmughasundaram and R. Subramanian. Source


Kannappan A.,Karpagam College of Engineering | Tamilarasi A.,Kongu Engineering College | Papageorgiou E.I.,Technological Educational Institute of Lamia
Expert Systems with Applications | Year: 2011

The soft computing technique of fuzzy cognitive maps (FCM) for modeling and predicting autistic spectrum disorder has been proposed. The FCM models the behavior of a complex system and is used to develop new knowledge based system applications. FCM combines the robust properties of fuzzy logic and neural networks. To overwhelm the limitations and to improve the efficiency of FCM, a good learning method of unsupervised training could be applied. A decision system based on human knowledge and experience with a FCM trained using unsupervised non-linear hebbian learning algorithm is proposed here. Through this work the hebbian algorithm on non-linear units is used for training FCMs for the autistic disorder prediction problem. The investigated approach serves as a guide in determining the prognosis and in planning the appropriate therapies to special children. © 2010 Elsevier Ltd. All rights reserved. Source


Sathesh K.,Karpagam College of Engineering
Microsystem Technologies | Year: 2011

Components like passive electronically scanned (sub) arrays, T/R modules, reconfigurable antennas etc., in RF applications are in need of MEMS switches for its re-configurability and polarization. This paper presents the analysis, design and simulation of a MEMS switch. The switch proposed in this paper is intended to work in the frequency range of 4-8 GHz. The proposed switch fulfills the switching characteristics concerning the five requirements loss, linearity, high switching speed, small size/power consumption, low pull down voltage following a relatively simple design, which ensures reliability, robustness and high fabrication yield. The switch implemented in this paper is based on the integration mode of operation and widely used in RF applications. © 2010 Springer-Verlag. Source


Shanmughasundaram P.,Karpagam College of Engineering | Subramanian R.,PSG College of Technology
Journal of Mechanical Science and Technology | Year: 2013

This paper presents an experimental investigation on the surface roughness of pure commercial Al, Al-15 wt% fly ash, and Al-15 wt% fly ash/1.5 wt% graphite (Gr) composites produced by modified two-step stir casting. The effect of reinforcements and machining parameters such as cutting speed, feed rate, and depth of cut on surface roughness, which greatly influence the performance of the machined product, were analyzed during turning operation. The optimum machining parameters were found in minimizing the surface roughness of the materials by using the Taguchi and ANOVA approach. Results show that the presence of the fly ash particles reduces the surface roughness of composites compared with pure Al. The inclusion of 1.5 wt% Gr in the Al-fly ash composite reduces the surface roughness considerably. A scanning electron microscopy investigation was carried out on the machined surfaces of the tested materials. Confirmation tests were performed to validate the regression models. © 2013 The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg. Source


Balamurugan T.,Karpagam University | Manoharan S.,Karpagam College of Engineering
International Journal of Renewable Energy Research | Year: 2013

This paper proposes a Optimal Power Flow Management control for Grid Connected Photovoltaic/Wind turbine/ Diesel generator (GCPWD) Hybrid System with hybrid storage system. The energy system having a photo voltaic (PV) panel, wind turbine (WT) and diesel generator (DG) for continuous power flow management. A diesel generator is added to ensure uninterrupted power supply due to the discontinuous nature of solar and wind resources. The developed Grid Connected Photovoltaic/Wind turbine/ Diesel generator (GCPWD) Hybrid System has been applied to supply continuous power to the AC/DC loads. A Grid Connected Photovoltaic/Wind turbine/ Diesel generator (GCPWD) hybrid systems three power sources (PV, wind turbine and diesel generator) and two power sink (AC&DC loads). In this paper, the power flow management algorithm has five modes of operation namely, the PV mode, wind turbine mode, battery bank mode, hybrid mode and diesel generator mode. A prototype for the proposed system was designed, implemented and tested using a controlled load result show a DC linked/AC linked hybrid PV/Wind Turbine/diesel generator energy sources for standalone applications. The conventional boost converter decreases the efficiency of the system during turn On/Off during this interval, all switches in the proposed work perform zero-current switching (ZCS) by resonant inductor at turn-on and zero-voltage switching (ZVS) by resonant capacitor at turn-off. This switching pattern can reduce the switching losses and increases the efficiency of energy conversion of energy sources experimental results show that the hybrid energy system can deliver energy in a standalone installation with an acceptable cost. Source

Discover hidden collaborations