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An effective higher order finite element computation method for analyzing the eddy current losses in induction motors using subparametric transformations

Publication Type : Journal Article

Publisher : Partial Differential Equations in Applied Mathematics

Source : Partial Differential Equations in Applied Mathematics 9 (2024) 100652

Url : https://www.sciencedirect.com/science/article/pii/S266681812400038X

Campus : Bengaluru

School : School of Engineering

Department : Mathematics

Year : 2024

Abstract : An enhanced sub-parametric finite element method is presented for analyzing the eddy current losses in induction motors using higher order sub-parametric transformations. The purpose of this study is to construct a very efficient, simple, and exact higher order sub-parametric approach employing a 2D automated mesh generator implemented in JuliaFEM. Alternating current motors are employed in a wide range of industrial and household applications on a frequent basis such as in fans, water heaters, ovens, pumps and many more. High efficiency of the motors is one of the most desirable parameters of these motors. Eddy current losses are predominant in these motors which are responsible for a decline in the efficiency. Consequently, the use of eddy current analysis is vital in evaluating the behaviour of electric devices under various loads. This paper proposes a novel finite element method approach to minimize the 2D eddy current phenomenon by taking the diffusion equation into account. Eddy currents are the primary source of torque in various types of equipment, such as induction motors. In other cases, it is important to analyse the eddy currents to estimate the losses, reactance, and resistance.

Cite this Research Publication : G.P. Kannan, K.V. Nagaraja, J.K. Madhukesh, R.S.V. Kumar, R.N. Kumar, An effective higher order finite element computation method for analyzing the eddy current losses in induction motors using subparametric transformations, Partial Differential Equations in Applied Mathematics 9 (2024) 100652. https://doi.org/10.1016/j.padiff.2024.100652

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