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Kanchipuram, India

Sri Chandrasekarendra Saraswathi Viswa Maha Vidyalaya is a university at Kancheepuram in Tamil Nadu, India. The university was established with the blessing of Their Holiness Pujyasri Jayendra Saraswathi Swamigal and Pujyasri Sankara Vijayendra Saraswati Swamigal . It attained the status of Deemed University in 1993.The Ministry of Human Resources Development declared the institution a 'Deemed University' under Section 3 of the UGC Act, on 26.05.1993. Wikipedia.


Rajmohan T.,Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya | Palanikumar K.,Sri Sairam Institute of Technology
Materials and Manufacturing Processes | Year: 2011

Hybrid metal matrix composites (MMCs) find diversified applications in many engineering fields and are very important in the recent development of material science. The present article investigates the effect of thrust force in the drilling of hybrid MMCs using coated carbide drills. Materials used for the present investigation are Al 356-aluminum alloy reinforced with silicon carbide of size 25 microns and mica of an average size 45 microns, which are produced through stir casting route. Experiments are conducted on a vertical machining centre using the central composite design technique. A model is developed to correlate the drilling parameters with thrust force using response surface methodology (RSM). The results indicate that the developed model is suitable for prediction of thrust forces in drilling of hybrid MMCs. Analysis of the drilled surface of Al356/SiC-Mica composites was done using scanning electron microscope (SEM). The influence of different parameters on thrust force of Al356/SiC-Mica composites has been analyzed through contour graphs and three-dimensional (3D) plots. © 2011 Taylor & Francis Group, LLC. Source


Rajmohan T.,Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya | Palanikumar K.,Sri Sai Ram Institute of Technology
Measurement: Journal of the International Measurement Confederation | Year: 2013

In this study, the application of response surface methodology (RSM) and central composite design (CCD) for modeling, optimization, and an analysis of the influences of dominant machining parameters on thrust force, surface roughness and burr height in the drilling of hybrid metal matrix composites produced through stir casting route. Experiments are carried out using Al 356-aluminum alloy reinforced with silicon carbide of size 25 μm and Mica of size 45 μm. Drilling test is carried out using carbide drill of 6 mm diameter. The design of experiment concept has been used to optimize the experimental conditions. The experimental data are collected based on a three-factor-three-level full central composite design. The multiple regression analysis using RSM is used to establish the input-output relationships of the process. The mathematical models are developed and tested for adequacy using analysis of variance and other adequacy measures using the developed models. The main and interaction effect of the input variables on the predicted responses are investigated. The predicted values and measured values are fairly close, which indicate that the developed models can be effectively used to predict the responses in the drilling of hybrid metal matrix composites. The optimized drilling process parameters have been obtained by numerical optimization using RSM by ensuring the minimum thrust force of 84 N, surface roughness of 1.67 μm, and the burr height of 0.16 mm. After the drilling experiments, a scanning electron microscope (SEM) is used to investigate the machined surface and tool wear. Source


Rajmohan T.,Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya | Palanikumar K.,Sri Sairam Institute of Technology
Materials and Manufacturing Processes | Year: 2012

This article focuses on the multiple performance analysis in machining characteristics of drilling hybrid metal matrix composites produced through stir casting route. The desirability function-based approach is employed for the optimization of drilling parameters, namely, spindle speed, feed rate, and wt% of SiC based on the multiple performance characteristics including surface roughness and burr height. Material used for the present investigation is Al 356-aluminum alloy reinforced with silicon carbide of size 25 microns and mica of an average size of 45 microns. Experiments are conducted on a vertical machining center using the Box - Behnken experimental design (BBD) technique. The drilling test is carried out using coated carbide drill of 6mm diameter. An empirical model has been developed for predicting the surface roughness and burr height in drilling of Al 356/SiC-mica composites. The optimization results showed that the combination of medium spindle speed, low feed rate, and high wt% of SiC is necessary to minimize burr height and surface roughness in drilling hybrid composites. © 2012 Copyright Taylor and Francis Group, LLC. Source


Rajmohan T.,Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya | Palanikumar K.,Sri Sairam Institute of Technology
Journal of Composite Materials | Year: 2012

In this study, an approach based on grey relational analysis and the Taguchi method is used to optimize machining parameters with multiple performance characteristics in drilling hybrid Al 356/SiC-mica composites. Experiments were conducted on a vertical machining centre, and Taguchi's Quality Concept, a L9, 3-level orthogonal array was chosen for the experiments. The drilling parameters, namely spindle speed, feed rate, drill and wt% of SiC, were optimized based on multiple performance characteristics including thrust force, surface roughness, and torque. The grey relational analysis with multiple performance characteristics indicates that the feed rate and the type of drill are the most significant factors which affect performance. Experimental results have shown that drilling process performance can be improved effectively by using this approach. © The Author(s) 2011. Source


Rajmohan T.,Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya | Palanikumar K.,Sri Sai Ram Institute of Technology | Prakash S.,Sathyabama University
Composites Part B: Engineering | Year: 2013

Metal matrix composites (MMCs) are difficult to machine due to their abrasive properties. With the projected widespread application of MMCs, it is necessary to develop an appropriate technology for their effective machining. The present investigation focuses on finding the optimal machining parameters setting in drilling of hybrid aluminium metal matrix composites using the grey-fuzzy algorithm. This proposed algorithm, coupling the grey relational analysis with the fuzzy logic, obtains a grey-fuzzy reasoning grade to evaluate the multiple performance characteristics according to the grey relational coefficient of each performance characteristics. The Taguchi method of experimental design is a widely accepted technique used for producing high quality products at low cost, therefore a L27 3-level orthogonal array is used for the experiments. The optimisation of multiple responses in complex processes is common; therefore, to reduce the degree of uncertainty during the decision making, fuzzy rule-based reasoning is integrated with the Taguchi's method. The response table, response graph and analysis of variance (ANOVA) are used to find the optimal setting and the influence of machining parameters on the multiple performance characteristics. Experimental results have shown that the required performance characteristics in the drilling process are improved by using this approach. © 2013 Elsevier Ltd. All rights reserved. Source

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