Prise en compte des incertitudes dimensionnelles introduites par les procédés de fabrication dans les modèles numériques de machines électriques

Abstract : Due to their imperfections, manufacturing processes lead to deviations on the dimensions which are not equal to their nominal value and as well as a variability on the dimensions from one product to another in the case of mass production. For electrical machines, these imperfections can cause an eccentricity between the rotor and the stator or shape default like the deformation of the inner surface of the stator. In the literature, research focuses mainly on the study of detrimental effects due to the eccentricity but not on shape default. In addition, this research is often based on a deterministic approach neglecting the variability that can arise especially in mass production. The aim of the thesis is to develop a methodology based on a probabilistic approach to quantify on the performances of an electrical machine the effect of imperfections of manufacturing processes on the geometry. First, a campaign of measurements was performed on 50 electrical machines for characterizing the main defaults such as the eccentricity and the deformation of the inner surface of the stator. Probabilistic models of these defaults have been proposed for taking into account their variability. A numerical model of the electrical machine combined with sparse approximation techniques were used to quantify the influence of these defaults on quantities of interest such as EMF or torque.
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Sijun Liu. Prise en compte des incertitudes dimensionnelles introduites par les procédés de fabrication dans les modèles numériques de machines électriques. Energie électrique. Ecole nationale supérieure d'arts et métiers - ENSAM, 2015. Français. ⟨NNT : 2015ENAM0035⟩. ⟨tel-01313321⟩

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