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Jammu, India

Shri Mata Vaishno Devi University has been established under THE JAMMU AND KASHMIR SHRI MATA VAISHNO DEVI UNIVERSITY ACT, 1999, an act of the J&K State Legislature as an autonomous, highly Technical & fully Residential University.The University started functioning as an academic unit in Aug 2004 when it was inaugurated on 19 August 2004 at the hands of the then Hon'ble President of India Dr. A P J Abdul Kalam. Dr. Kalam also delivered the first lecture to the students of the University.RecognitionThe University is approved by UGC under Section 2 & Section 12 of UGC Act of 1956.The technical programs of the University are recognized by AICTE while Architecture program is recognized by Council of Architecture.Funding Shri Mata Vaishno Devi UniversityThe University receives funding from Shri Mata Vaishno Devi Shrine Board,and also from umar abdullah, an autonomous Board set up in August 1986 under the provisions of The Jammu and Kashmir Shri Mata Vaishno Devi Shrine Act, 1986 of J&K State Legislature. The University also gets funds from UGC .The Shri Mata Vaishno Devi University, commonly referred to as SMVD University or SMVDU, is a Central Funded University on an 470-acre campus located near Katra, Jammu and Kashmir. It is situated near the Shrine of the Mata Vaishno Devi, after which it is named. The university is fully residential and provides technical education in the field of Engineering, Science, Management, Philosophy and other subjects of contemporary importance, with all technical courses recognised by AICTE, CIC, COA. With the focus on higher learning & research, SMVDU has established itself in the league of eminent institutions of learning in the country. It is ranked 25th in a survey of top Indian engineering colleges by popular magazine Outlook in 2013. view List of Indian engineering college rankings.Located at a distance of 45 km from Jammu Airport and 14 km short of the holy town of Katra, the university is situated on spectacular location – a plateau surrounded by mountains on three sides in the foothills of 'Trikuta' Range where the world famous shrine of Mata Vaishno Devi is located. It is a self-contained township with most facilities available in-house. Wikipedia.


Mallah S.,Shri Mata Vaishno Devi University
Annals of Nuclear Energy | Year: 2011

India is facing great challenges in its economic development due to the impact on climate change. Energy is the important driver of economy. At present Indian energy sector is dominated by fossil fuel. Due to international pressure for green house gas reduction in atmosphere there is a need of clean energy supply for energy security and sustainable development. The nuclear energy is a sustainable solution in this context to overcome the environmental problem due to fossil fuel electricity generation. This paper examines the implications of penetration of nuclear energy in Indian power sector. Four scenarios, including base case scenario, have been developed using MARKAL energy modeling software for Indian power sector. The least-cost solution of energy mix has been measured. The result shows that more than 50% of the electricity market will be captured by nuclear energy in the year 2045. This ambitious goal can be expected to be achieved due to Indo-US nuclear deal. The advanced nuclear energy with conservation potential scenario shows that huge amounts of CO2 can be reduced in the year 2045 with respect to the business as usual scenario. © 2010 Elsevier Ltd. All rights reserved. Source


Kaushik S.C.,Indian Institute of Technology Delhi | Reddy V.S.,Indian Institute of Technology Delhi | Tyagi S.K.,Shri Mata Vaishno Devi University
Renewable and Sustainable Energy Reviews | Year: 2011

The energy supply to demand narrowing down day by day around the world, the growing demand of power has made the power plants of scientific interest, but most of the power plants are designed by the energetic performance criteria based on first law of thermodynamics only. The real useful energy loss cannot be justified by the fist law of thermodynamics, because it does not differentiate between the quality and quantity of energy. The present study deals with the comparison of energy and exergy analyses of thermal power plants stimulated by coal and gas. This article provides a detailed review of different studies on thermal power plants over the years. This review would also throw light on the scope for further research and recommendations for improvement in the existing thermal power plants. © 2010 Elsevier Ltd. All rights reserved. Source


Reducing the energy consumption during machining of metal matrix composites (MMC) can significantly improve the environmental performance of manufacturing systems. To achieve this, calculation of energy consumption in the computerized numerical controlled (CNC) turning machine is required. It is important to minimize the power consumption and maximize tool life during machining operations, being performed on the CNC turning machine. However, this is challenging due to complexity of manufacturing systems and the nature of material being machined. This paper presents the findings of experimental investigations into the effects of cutting speed, feed rate, depth of cut and nose radius in CNC turning of 7075 Al alloy 15 wt% SiC (particle size 20-40 μm) composite. Design of experiment techniques, i.e. response surface methodology (RSM) has been used to accomplish the objective of the experimental study. The machining parameters such as cutting speed, feed rate, depth of cut and nose radius are optimized by multi-response considerations namely power consumption and tool life. A composite desirability value is obtained for the multi-responses using individual desirability values from the desirability function analysis. Based on composite desirability value, the optimum levels of parameters have been identified, and significant contribution of parameters is determined by analysis of variance. Confirmation test is also conducted to validate the test result. It is clearly shown that the multi-responses in the machining process are improved through this approach. Thus, the application of desirability function analysis in response surface methodology proves to be an effective tool for optimizing the machining parameters of 7075 Al alloy 15 wt% SiC (20-40 μm) composite. Result of this research work show that when turning is be carried out at values of machining parameters obtained by multi response optimization through desirability analysis route this will reduce power consumption by13.55% and increase tool life by 22.12%.© 2012 Elsevier Ltd. All rights reserved. Source


Tyagi V.V.,Indian Institute of Technology Delhi | Kaushik S.C.,Indian Institute of Technology Delhi | Tyagi S.K.,Shri Mata Vaishno Devi University | Akiyama T.,Hokkaido University
Renewable and Sustainable Energy Reviews | Year: 2011

Thermal energy storage (TES) systems using phase change material (PCM) have been recognized as one of the most advanced energy technologies in enhancing the energy efficiency and sustainability of buildings. Now the research is focus on suitable method to incorporate PCMs with building. There are several methods to use phase change materials (PCMs) in thermal energy storage (TES) for different applications. Microencapsulation is one of the well known and advanced technologies for better utilization of PCMs with building parts, such as, wall, roof and floor besides, within the building materials. Phase change materials based microencapsulation for latent heat thermal storage (LHTS) systems for building application offers a challenging option to be employed as effective thermal energy storage and a retrieval device. Since the particular interest in using microencapsulation PCMs for concrete and wall/wallboards, the specific research efforts on both subjects are reviewed separately. This paper presents an overview of the previous research work on microencapsulation technology for thermal energy storage incorporating the phase change materials (PCMs) in the building applications, along with few useful conclusive remarks concluded from the available literature. © 2010 Elsevier Ltd. All rights reserved. Source


Bhushan R.K.,Shri Mata Vaishno Devi University
Journal of Manufacturing Science and Engineering, Transactions of the ASME | Year: 2013

Optimization in turning means determination of the optimal set of the machining parameters to satisfy the objectives within the operational constraints. These objectives may be the minimum tool wear, the maximum metal removal rate (MRR), or any weighted combination of both. The main machining parameters which are considered as variables of the optimization are the cutting speed, feed rate, depth of cut, and nose radius. The optimum set of these four input parameters is determined for a particular job-tool combination of 7075Al alloy-15 wt. % SiC (20-40 lm) composite and tungsten carbide tool during a single-pass turning which minimizes the tool wear and maximizes the metal removal rate. The regression models, developed for the minimum tool wear and the maximum MRR were used for finding the multiresponse optimization solutions. To obtain a trade-off between the tool wear and MRR the, a method for simultaneous optimization of the multiple responses based on an overall desirability function was used. The research deals with the optimization of multiple surface roughness parameters along with MRR in search of an optimal parametric combination (favorable process environment) capable of producing desired surface quality of the turned product in a relatively lesser time (enhancement in productivity). The multi-objective optimization resulted in a cutting speed of 210 m/min, a feed of 0.16 mm/rev, a depth of cut of 0.42 mm, and a nose radius of 0.40 mm. These machining conditions are expected to respond with the minimum tool wear and maximum the MRR, which correspond to a satisfactory overall desirability. © VC 2013 by ASME. Source

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