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Kanchipuram District, India

Susitra D.,Sathyabama University | Paramasivam S.,ESAB India Ltd
International Journal of Modelling, Identification and Control | Year: 2014

This paper presents artificial intelligence-based rotor position estimation techniques for a three phase, 6/4 pole switched reluctance machine one based on fuzzy logic and another on adaptive neuro-fuzzy inference system (ANFIS). These techniques are applied for modelling the nonlinear rotor position of SRM using the magnetisation characteristics of the machine. Fuzzy logic technique is greatly suited to model general nonlinear mapping between input and output spaces. ANFIS has a strong nonlinear approximation ability which could be used for nonlinear modelling of the machine and its real time implementations. In this paper, the best features of fuzzy logic and ANFIS are utilised to develop the computationally efficient rotor position model θ(I, L) for SRM. Mathematical model for θ(I, L) using fuzzy inference system (FIS) and ANFIS has been successfully arrived, tested and presented for various values of phase currents (Iph) and phase inductance (L) of a nonlinear SRM. It is observed that both FIS and ANFIS are highly suitable for rotor position θ(I, L) modelling of SRM which is tested to be in good agreement with the training and checking of data used for modelling. © 200x Inderscience Enterprises Ltd. Source


Kumar M.S.,Jawaharial Nehru Technological University | Dhanasekar B.,General Motors | Janardhana G.R.,Jawaharial Nehru Technological University | Paramasivam S.,ESAB India Ltd | Kumar K.S.J.,SSN College of Engineering
IEEE International Conference on Industrial Engineering and Engineering Management | Year: 2011

The plasma arc cutting technology is the one, which finds tremendous potential in fabrication and manufacturing industries. The objective of this work is to improve the life of the electrode, which is used in plasma cutting torch as consumable. There are many factors which influences over the electrode life, one such factor affecting the life drastically is overheated plasma system. To increase the life, proper cooling is necessary to cool the system. The results of numerical simulation as well as the experimental outcome due to the effect of different plasma coolants with different flow rates are presented. The thermal behavior, due to three coolants, propylene glycol, ethylene glycol and de ionized water, are analyzed using the CFD tool, FLUENT. It has been experimented with different coolant flow rate to find the effect of flow rate, it confirms an optimized coolant flow rate is required to achieve the better electrode life. © 2011 IEEE. Source


Kumar M.S.,Jawaharlal Nehru Technological University Kakinada | Dhanasekar B.,General Motors | Janardhana G.R.,Jawaharlal Nehru Technological University Anantapur | Paramasivam S.,ESAB India Ltd | Kumar K.S.J.,SSN College of Engineering
Proceedings - 2nd International Conference on Engineering and Industries, ICEI 2011 | Year: 2011

Plasma arc cutting technology has wide range of applications in diverse fields including non engineering sectors. The research on plasma arc cutting was limited due to the ambiguity involved in it, but now it has been increased substantially. This work is focused on the study of swirl produced by swirler or baffles inside the plasma cutting torch. The swirling action produced in plasma cutting torch has predominant effect over the cut quality and the life of the consumables being used. In this paper, the effects of injection of plasma gas at different swirl angles are studied. The injection angles of 30°, 45° and 60° through swirler are considered for this numerical analysis. The numerical simulations of plasma behavior are carried out by using Computational Fluid Dynamics (CFD) software FLUENT. A 2D axisymmetric model of plasma torch is considered for the analysis. A computer programming was developed with assumptions for inputs, to simulate the plasma jet generated from plasma torch. A comparison is made for the output plasma variable profiles of pressure, velocity, swirl velocity and temperature for different swirl angles. © 2011 AICIT. Source


Senthil Kumar M.,Jawaharlal Nehru Technological University Kakinada | Dhanasekar B.,General Motors | Ranga Janardhana G.,Jawaharlal Nehru Technological University Anantapur | Paramasivam S.,ESAB India Ltd | Jaya Kumar K.S.,SSN College of Engineering
International Journal of Modeling, Simulation, and Scientific Computing | Year: 2012

The advancement in technologies made the entire manufacturing system, to be operated with more efficient, flexible, user friendly, more productive and cost effective. One such a system to be focused for advancement is plasma cutting system, which has wider industrial applications. There are many researches pursuing at various area of plasma cutting technology, still the automated and optimized parameters value selection is challenging. The work is aimed to eliminate the manual mode of feeding the input parameters for cutting operation. At present, cutting parameters are fed by referring the past cut data information or with the assistance of experienced employers. The cutting process parameters selections will have direct impact on the quality of the material being cut, and life of the consumables. This paper is intended to automate the process parameters selection by developing the mathematical model with existing cutting process parameters database. In this, three different approaches, multiple regression, multiple polynomial regression and AI technique, are selected and analyzed with the mathematical relations developed between the different cutting process parameters. The accuracy and reliability of those methods are detailed. The advantage and disadvantage of those methods for optimal setting conditions are discussed. The appropriate method that can be preferred for automated and optimal settings are elucidated. Finally, the selected technique is checked for accuracy and reliability for the existing cut data. © 2012 World Scientific Publishing Company. Source


Anbarasi Jebaselvi G.D.,Sathyabama University | Paramasivam S.,ESAB India Ltd
International Journal of Applied Engineering Research | Year: 2014

Enormous increase in the consumption of energy due to massive industrialization, gradual depletion of fossil fuels, continuous threat of climate change all indicate the importance of renewable sources in power production. Several sources of renewable energies are under exploitation and search, in order to develop power extraction techniques aiming to improve the reliability, reduce the costs of manufacture and to increase the energizing efficiency. In view of small scale power production, direct-driven Permanent Magnet Synchronous Generator is suitable considering its cost and simple design. This paper intends in bringing maximum power in it by implementing fuzzy logic technique to enhance the power production by proper tracking of rotor speed and controlling the duty ratio of power converters. © Research India Publications. Source

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