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A Comparative Study on the Milling Speed for the Synthesis of Nano-Structured Al 6063 Alloy Powder by Mechanical Alloying  [PDF]
Hafeez Ahamed, V. Senthil Kumar
Journal of Minerals and Materials Characterization and Engineering (JMMCE) , 2011, DOI: 10.4236/jmmce.2011.106038
Abstract: The present article reports on characterization studies performed on amorphized nanostructured Al 6063 alloy powder synthesized by mechanical alloying (MA). The as-milled powder was characterized by X-ray diffraction (XRD) for investigating the development of crystallite nature and determining the different phases of the materials present, scanning electron microscope (SEM) was used for in depth morphological study and High Resolution-transmission electron microscope (HR-TEM) was employed to ensure the development of a nano-structured nature of the Al 6063 matrix. In the present work alloyed powder was milled for 20 h and 40 h at 300 rpm; and 20 h at 700 rpm in a hardened stainless steel medium. Using Williamson-Hall equation; crystallite size, lattice strain and lattice parameter of Al 6063 nanostructure alloy powder was estimated with broadening of XRD peaks. XRD results showed that the crystallite size of Al 6063 alloy powder reached 32 and 53 nm after 20 h at 700 rpm and 40 h at 300 rpm respectively.
Insulin prescription errors
Mathew John,Senthil V
Journal of Postgraduate Medicine , 2005,
Abstract:
Applying a Genetic Algorithm to Telecommunication N/W Design
P. Senthil Kumar,V. Khanaa
Journal of Engineering and Applied Sciences , 2012,
Abstract: This study presents an Evolutionary Algorithm based approach for the design of telecommunication networks. A permutation-based encoding, uniform Cross-over and problem specific mutation is used for this design optimization problem. We considered a 2-layer network and our aim is to find the Lower Layer (LL) Link capacities for implementing the Upper Layer (UL) Links by minimizing the cost of the Lower Layer. To evaluate the performance of our proposed method, a sample nine-node network is considered and it is compared with other design techniques such as Integer Programming.
A Tabu Search Algorithm for Job Shop Scheduling Problem with Industrial Scheduling Case Study
P. Senthil Velmurugan,V. Selladurai
International Journal of Soft Computing , 2012,
Abstract: The general Job Shop Scheduling (JSS) problem is of combinatorial in nature wherein it is difficult to find the optimal solution conventionally. In recent years, much attention has been made to solve these type optimisation problems using heuristic techniques such as Genetic Algorithm, Ant Colony Optimisation, Tabu Search, Simulated Annealing. This study presents a Tabu Search (TS) approach to minimize makespan for the JSS problem. The method uses dispatching rules to obtain an initial solution and searches for new solutions based on new neighbourhood based first-last strategy with dynamic tabu length. Several benchmark problems are tested using this algorithm for the best makespan and the obtained results are compared with benchmark values. Finally the TS algorithm has been tested for scheduling problem in automobile parts manufacturing industry.
A fundamental theorem of set-valued homomorphism of groups
G. Senthil Kumar,V. Selvan
International Journal of Contemporary Mathematical Sciences , 2012,
Abstract:
Diagnosis of Heart Disease using Fuzzy Resolution Mechanism
A.V. Senthil Kumar
Journal of Artificial Intelligence , 2012,
Abstract: The aim of this study is to combine the neural networks (ANNs) and Fuzzy Logic (FL) to make a powerful tool to diagnosis heart disease. By combining the Fuzzy inference system and neural network, the input values are passed through the input layer (by input membership function) and the output could be seen in output layer (by output membership functions). Training involves iterative adjustment of parameters of the adaptive neuro-fuzzy inference system using a hybrid learning procedure to diagnosis the heart disease. This mechanism presents five layer, each layer has its own nodes. Layer 1 had the input variables with membership function. T-norm operator that perform the AND operator can be used in layer 2. The sum of all rules firing strengths are assigned in layer 3. The nodes in layer 4 are adaptive and perform the consequent of the rules. Single node computes the overall output in layer 5. The proposed method is tested with Cleveland heart disease dataset. The ANFIS approach is implemented using MATLAB. The proposed mechanism can work more effectively for diagnosis of heart disease and also improves the accuracy. The result of the proposed methods is compared with earlier method using accuracy as metrics.
Study on Performance and Emission Characteristics of a Compression Ignition Engine Fueled with Diesel-2 Ethoxy Ethyl Acetate Blends  [PDF]
R. Senthil, M. Kannan, B. Deepanraj, V. Nadanakumar, S. Santhanakrishnan, P. Lawrence
Engineering (ENG) , 2011, DOI: 10.4236/eng.2011.311141
Abstract: Diesel engines are the major contributors of various types of air polluting gases like carbon monoxide, oxides of nitrogen, smoke, etc. Improvement of fuel properties is essential for suppression of Diesel pollutant emissions along with the optimization of design factors and after treatment equipment. Studies conducted in the past have shown that a significant reduction were obtained in the emissions using oxygenates. This paper investigates the performance and emission characteristics of a direct injection Diesel engine fueled with 2 Ethoxy Ethyl Acetate (EEA) blends. Different fuel blends which contain 5%, 10% and 15% of EEA were prepared and the effect of these blends on performance and emissions were studied on a single cylinder direct injection Diesel engine. The blends were tested under different load conditions and the result showed that EEA blended fuels improves the performance of the engine and reduce the emission level significantly.
V Model of E-Learning Using Gagne Nine Steps of Education  [PDF]
Hasan Al-Shalabi, Swidan Andraws, Adnan I. Alrabea, A. V. Senthil Kumar
Journal of Software Engineering and Applications (JSEA) , 2012, DOI: 10.4236/jsea.2012.511098
Abstract: This paper presents a V-model of e-learning using the well-known Gagne nine steps for quality education. Our suggested model is based on our experience at the computer engineering departments at AL-Hussein Bin Talal University, the University of Jordan and Albalqa Applied University. We applied the recommendations of the nine steps methodology to the e-learning environment. The V model suggested in this paper came up as a result of such application. Although this V model can be subject to some tuning and development in the future it proved to be highly efficient and easy to implement for the teacher and the student.
On the performance of the particle swarm optimization algorithm with various inertia weight variants for computing optimal control of a class of hybrid systems
M. Senthil Arumugam,M. V. C. Rao
Discrete Dynamics in Nature and Society , 2006, DOI: 10.1155/ddns/2006/79295
Abstract: This paper presents an alternative and efficient method for solving the optimal control of single-stage hybrid manufacturing systems which are composed with two different categories: continuous dynamics and discrete dynamics. Three different inertia weights, a constant inertia weight (CIW), time-varying inertia weight (TVIW), and global-local best inertia weight (GLbestIW), are considered with the particle swarm optimization (PSO) algorithm to analyze the impact of inertia weight on the performance of PSO algorithm. The PSO algorithm is simulated individually with the three inertia weights separately to compute the optimal control of the single-stage hybrid manufacturing system, and it is observed that the PSO with the proposed inertia weight yields better result in terms of both optimal solution and faster convergence. Added to this, the optimal control problem is also solved through real coded genetic algorithm (RCGA) and the results are compared with the PSO algorithms. A typical numerical example is also included in this paper to illustrate the efficacy and betterment of the proposed algorithm. Several statistical analyses are carried out from which can be concluded that the proposed method is superior to all the other methods considered in this paper.
On the optimal control of single-stage hybrid manufacturing systems via novel and different variants of particle swarm optimization algorithm
M. Senthil Arumugam,M. V. C. Rao
Discrete Dynamics in Nature and Society , 2005, DOI: 10.1155/ddns.2005.257
Abstract: This paper presents several novel approaches of particle swarm optimization (PSO) algorithm with new particle velocity equations and three variants of inertia weight to solve the optimal control problem of a class of hybrid systems, which are motivated by the structure of manufacturing environments that integrate process and optimal control. In the proposed PSO algorithm, the particle velocities are conceptualized with the local best (or pbest) and global best (or gbest) of the swarm, which makes a quick decision to direct the search towards the optimal (fitness) solution. The inertia weight of the proposed methods is also described as a function of pbest and gbest, which allows the PSO to converge faster with accuracy. A typical numerical example of the optimal control problem is included to analyse the efficacy and validity of the proposed algorithms. Several statistical analyses including hypothesis test are done to compare the validity of the proposed algorithms with the existing PSO technique, which adopts linearly decreasing inertia weight. The results clearly demonstrate that the proposed PSO approaches not only improve the quality but also are more efficient in converging to the optimal value faster.
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