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Arulprakasajothi M.,JNTUA | Elangovan K.,Cambridge Institute of Technology | HemaChandra Reddy K.,JNTUA | Suresh S.,National Institute of Technology Tiruchirappalli
Materials Today: Proceedings | Year: 2015

This paper presents the heat transfer study of TiO2/water Nanofluids with different concentrations. Nanofluids have emerged as an exciting new class of nanotechnology based heat transfer fluids and have grown enormously in the past few years. Nanofluids increases the performance of heat exchanging devices than the conventional working fluids. In the present work, TiO2/water nanofluids with various volume concentrations of 0.1%,0.25%,0.5% and0.75% were prepared using two step method for heat transfer study. Stability, thermal conductivity and viscosity measurement was conducted using zeta potential, KD2 Pro and Brookfield Viscometer respectively. Finally, the experiment was conducted using TiO2/water nanofluids as working fluid in a tube heat exchanger to study the heat transfer performance. The experimental results show that the nusselt number increases with an increase of particle volume fraction and the nusselt number enhancement was observed to be 13.2% over the base fluid for volume concentration of 0.75%. From the experimental observations, enhancement in Nusselt number is larger than the enhancement in friction factor. © 2015 Elsevier Ltd. Source


Yang X.-S.,Middlesex University | Deb S.,Cambridge Institute of Technology | Fong S.,University of Macau
Journal of Multiple-Valued Logic and Soft Computing | Year: 2014

The efficiency of any metaheuristic algorithm largely depends on the way of balancing local intensive exploitation and global diverse exploration. Studies show that bat algorithm can provide a good balance between these two key components with superior efficiency. In this paper, we first review some commonly used metaheuristic algorithms, and then compare the performance of bat algorithm with the so-called intermittent search strategy. From simulations, we found that bat algorithm is better than the optimal intermittent search strategy. We also analyse the comparison results and their implications for higher dimensional optimization problems. In addition, we also apply bat algorithm in solving business optimization and engineering design problems. ©2014 Old City Publishing, Inc. Source


Akhtar M.A.K.,Cambridge Institute of Technology | Sahoo G.,Birla Institute of Technology
Procedia Computer Science | Year: 2015

MANET is a cooperative network in which every node is responsible for routing and forwarding as a result consumes more battery power and bandwidth. In order to save itself in terms of battery power and bandwidth noncooperation is genuine. Cooperation can be enhanced on the basis of reduction in resource consumption by involving a limited number of nodes in routing activities rather than all. To get accurate selection of nodes to define a backbone several works have been proposed in the literature. These works define a backbone with impractical assumptions that is not feasible for MANET. In this paper we have presented the Backbone Group (BG) model, which involve the minimum number of nodes called BG in routing activities instead of all. A BG is a minimal set of nodes that efficiently connects the network. We have divided a MANET in terms of the single hop neighborhood called locality group (LG). In a LG we have a cluster head (CH), a set of regular nodes (RNs) and one or more border nodes (BNs). The CHs are responsible for the creation and management of LG and BG. The CHs use a BG for a threshold time then switches to another BG, to involve all nodes in network participation. The proposed model shows its effectiveness in terms of reduction in routing overhead up to a ratio (n2: n2/k) where k is the number of LGs. © 2015 The Authors. Source


Kulkarni M.V.,Jawaharlal Nehru Technological University Anantapur | Elangovan K.,Cambridge Institute of Technology | Hemachandra R.K.,Jawaharlal Nehru Technological University Anantapur
International Journal of Plastics Technology | Year: 2013

Injection molding (IM) is the most generally used manufacturing process for the fabrication of plastic parts. A wide variety of products are manufactured using injection molding, which vary greatly in their size, intricacy, and application. One of the main limitations of Injection molded parts is the limited strength characteristic of Injection molded materials which in turn limits their scope of application in many areas of engineering. This paper focuses on enhancing the scope of application of IM parts through deposition of thin metallic foils. The ABS and Nylon6 are the materials on which plating is carried out. Through electroless and electrolytic deposition of copper, nickel and chromium layers over the ABS and Nylon6 samples, improvements with respect to strength are evaluated through experimental means. The process of deposition of thin metal foils on ABS substrates involves many steps such as surface activation, etching, catalyzing, electroless deposition, electro plating and surface cleaning, whereas, the electroless procedure is avoided on Nylon6 substrates. Characterization tests such as tensile and compression are conducted on samples in both un-coated and coated conditions. © 2013 Central Institute of Plastics Engineering & Technology. Source


Yang X.-S.,Middlesex University | Deb S.,Cambridge Institute of Technology
Neural Computing and Applications | Year: 2014

Cuckoo search (CS) is a relatively new algorithm, developed by Yang and Deb in 2009, and the same has been found to be efficient in solving global optimization problems. In this paper, we review the fundamental ideas of cuckoo search and the latest developments as well as its applications. We analyze the algorithm and gain insight into its search mechanisms and find out why it is efficient. We also discuss the essence of algorithms and its link to self-organizing systems, and finally, we propose some important topics for further research. © 2013 Springer-Verlag London. Source

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