Model Order Reduction for Rotating Electrical Machines

The simulation of electric rotating machines is both computationally expensive and memory intensive. To overcome these costs, model order reduction techniques can be applied. The focus of this contribution is especially on machines that contain non-symmetric components. These are usually introduced during the mass production process and are modeled by small perturbations in the geometry (e.g., eccentricity) or the material parameters. While model order reduction for symmetric machines is clear and does not need special treatment, the non-symmetric setting adds additional challenges. An adaptive strategy based on proper orthogonal decomposition is developed to overcome these difficulties. Equipped with an a posteriori error estimator the obtained solution is certified. Numerical examples are presented to demonstrate the effectiveness of the proposed method

Couplage entre formulations intégrale de volume et intégrale de frontière pour la modélisation de problèmes électromagnétiques en présence de diélectriques

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Nouvelle generation de moteurs

SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : AR 16409 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueMinistere de l'Enseignement Superieur et de la Recherche, 75 - Paris (France)FRFranc

Antagonistic Functions of Two Stardust Isoforms in Drosophila Photoreceptor Cells

Two Stardust isoforms are expressed in adult Drosophila photoreceptors, which associate with Crumbs and PATJ, but form distinct complexes. Sdt-H and Sdt-D have antagonistic functions on stalk membrane length and light-dependent retinal degeneration, suggesting a fine-tuned balance of different Crumbs complexes regulating photoreceptor homeostasis