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Jaiganesh V.,Sa Engineering College
Science and Technology of Welding and Joining | Year: 2016

In this paper, the influence of friction stir welding process parameters and impact of tool geometry on the microstructural characteristics and tribological properties of AZ80A magnesium alloy are experimentally investigated. Tool with three different pin profiles at a constant tool rotational speed ω to feedrate v ratio were employed. Additionally, detailed experimental measurements are also carried out on the hardness and wear losses of joints. The chemical compositions of fabricated joints are analysed using energy dispersive spectrometry. The taper cylindrical pin profiled tool exhibited sound joints under the 750 rev min-1/75 mm min-1 ratio. It is also found that the tool rotational speed plays a more significant role on the microstructural characteristics and mechanical properties of the joints, compared to feedrate. © 2016 Institute of Materials, Minerals and Mining Published by Maney on behalf of the Institute. Source


Ramesh Kumar A.,Sa Engineering College | Premalatha L.,Vellore Institute of Technology
International Journal of Electrical Power and Energy Systems | Year: 2015

Abstract The optimization is an important role in the wide geographical distribution of electrical power market, finding the optimum solution for the operation and design of power systems has become a necessity with the increasing cost of raw materials, depleting energy resources and the ever growing demand for electrical energy. Using adaptive real coded biogeography-based optimization (ARCBBO), we present the optimization of various objective functions of an optimal power flow (OPF) problem in a power system. We aimed to determine the optimal settings of control variables for an OPF problem. The proposed approach was tested on a standard IEEE 30-bus system and an IEEE 57-bus system with different objective functions. Simulation results reveal that the proposed ARCBBO approach is effective, robust and more accurate than current methods of power flow optimization in literature. © 2015 Elsevier Ltd. Source


In this paper, the effects of axial force on the mechanical properties of AZ31B magnesium alloy flat plates during the Friction Stir Welding (FSW) process were investigated by carrying out the tensile tests as per the American Society for Testing and Materials (ASTM) E8M-11 standards. The tensile test results indicated that the increase of the axial force greatly improved the tensile shear load (TSL) of the friction stir welded joints at a constant tool rotational speed of 800 rpm and welding speed of 50mm/min. Sound lap joints with low distortion, lack of cavity and high tensile strength were successfully obtained with an axial force of 5kN. However, the TSL of the friction stir welded joints decreased when the axial forces were 3kN and 4kN with the same constant tool rotational and welding speed. © (2014) Trans Tech Publications, Switzerland. Source


In this paper, a detailed investigation has been carried out to find out the impact of the process parameters including Tool rotational speed, welding direction at constant axial force and with a taper cylindrical pin profiled HSS tool during the Friction stir welding (FSW) of AZ31B magnesium alloy lap joints. This paper evaluates & examines in an elaborate manner, the influence of these FSW parameters in the microstructure & mechanical properties of AZ31B magnesium alloy. In short, AZ31B Mg alloys were friction stir welded by varying several different process parameters and the effects of these parameters on the joint quality, microstructure & mechanical properties were discussed comprehensively. This paper also experimentally proves & suggests the optimized process parameter values to be adopted for effective lap joining of AZ31B Magnesium alloys using FSW technique. © 2014 Published by Elsevier Ltd. Source


Ranjani M.,Sathyabama University | Murugesan P.,Sa Engineering College
Applied Soft Computing Journal | Year: 2015

The conventional controller suffers from uncertain parameters and non-linear qualities of Quasi-Z Source converter. However they are computationally inefficient extending to optimize the fuzzy controller parameters, since they exhaustively search the optimal values to optimize the objective functions. To overcome this drawback, a PSO based fuzzy controller parameter optimization is presented in this paper. The PSO algorithm is used to find the optimal fuzzy parameters for minimizing the objective functions. The feasibility of the proposed PSO technique has been simulated and tested. The results are bench marked with conventional fuzzy controller and genetic algorithm for two types of DC/DC converters namely double input Z-Source converter and Quasi-Z Source converter. The results of both the DC/DC converters for several existing methods illustrate the effectiveness and robustness of the proposed algorithm. © 2014 Elsevier B.V. All rights reserved. Source

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