Modélisation stochastique de la variabilité des propriétés magnétiques des matériaux ferromagnétiques : application sur des stators de machines électriques

Ramarotafika Rindrarivelo 1
1 Modélisation
L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - EA 2697
Abstract : In the field of electrical engineering, many researches focused on studying the impact of manufacturing processes on the magnetic properties of soft magnetic materials. This impact results in a deterioration of the magnetic permeability, and increase of iron losses, mainly of hysteresis losses. However, it should be noticed that these studies are mostly purely quantitative, and works dealing with the modeling of these influences on behavioral law and losses are few. Moreover, the non repeatability of the manufacturing processes often induces variability in the magnetic materials properties. This phenomenon may be due to the ageing or the tools wear used on a production chain. The present work introduces a probabilistic approach to the study of the impact of manufacturing processes onto the magnetic properties of two groups of stator samples of electric machine. Both groups are made from the same electrical steel standard grade (M800-50A), have the same size and differ in their manufacturing process: stacked and enrolled lamination. The implementation of statistical tools allowed assessing that samples made from stacked laminations are magnetically more efficient. Furthermore, the variability of magnetic properties of samples made from enrolled laminations has been demonstrated. A stochastic model of the behavior law, iron losses and magnetic hysteresis, taking into account this variability was then developed, and validated using experimental data and statistical tests.
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Submitted on : Friday, September 28, 2012 - 9:16:14 PM
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  • HAL Id : pastel-00736725, version 1

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Ramarotafika Rindrarivelo. Modélisation stochastique de la variabilité des propriétés magnétiques des matériaux ferromagnétiques : application sur des stators de machines électriques. Energie électrique. Arts et Métiers ParisTech, 2012. Français. ⟨NNT : 2012ENAM0028⟩. ⟨pastel-00736725⟩

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