Fiche individuelle
Mircea FRATILA | ||
Equipe | Outils et Méthodes Numériques | |
Téléphone | +33 (0)3-XX-XX-XX-XX | |
fm@univ-lille.fr | ||
Publications |
ACLI Revue internationale avec comité de lecture |
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[1] Comparison of reduced basis construction methods for Model Order Reduction, with application to non-linear low frequency electromagnetics Mathematics and Computers in Simulation, 04/2023 DELAGNES Théo, HENNERON Thomas, CLENET Stéphane, FRATILA Mircea, DUCREUX Jean-Pierre |
[2] Iron Loss Calculation in a Synchronous Generator Using Finite Element Analysis IEEE Transactions on Energy Conversion, Vol. 32, N°. 2, pages. 640 - 648, 06/2017, URL, Abstract FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm, DESSOUDE Maxime |
This paper deals with the calculation of iron losses in a turgenerator using a magnetodynamic Finite Element (F.E.) Analysis accounting for the eddy currents in the damper bars. Two iron loss models, based on the Berttoti’s decomposition approach, are compared in the post-processing step of a F.E. calculation. The numerical model of the studied system is validated by comparing the calculation and the experiment for no-load conditions. |
[3] Calculation of iron loss in Solid Rotor Induction Machine using FEM IEEE Transactions on Magnetics, Vol. 50, N°. 2, 02/2014 FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm, DESSOUDE Maxime |
[4] Improved iron loss calculation for non-centered minor loops The International Journal for Computation and Mathematics in Electrical and Electronic Engineering (COMPEL), Vol. 32, N°. 4, 07/2013 FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm, DESSOUDE Maxime |
[5] Stochastic post processing calculation of iron losses -Application to a PMSM The International Journal for Computation and Mathematics in Electrical and Electronic Engineering (COMPEL), Vol. 32, N°. 4, 07/2013 FRATILA Mircea, RAMAROTAFIKA Rindra, BENABOU Abdelkader, CLENET Stéphane, TOUNZI Abdelmounaïm |
ACT Conférence internationale avec acte |
[1] Model Order Reduction of a Squirrel Cage Induction Machine Finite Element Model in Nonlinear Case using GNAT COMPUMAG2023, Kyoto, Japon., 05/2023 DELAGNES Théo, CLENET Stéphane, HENNERON Thomas, FRATILA Mircea, DUCREUX Jean-Pierre |
[2] Development of a FE Reduced Model on a Large Operating Range for a Squirrel Cage Induction Machine in Non Linear Case CEFC2022 (virtual conference), 10/2022 DELAGNES Théo, HENNERON Thomas, CLENET Stéphane, FRATILA Mircea |
[3] On the fly k-means algorithm for data compression EMF 2021, Marseille, France, 06/2021 DELAGNES Théo, HENNERON Thomas, CLENET Stéphane, FRATILA Mircea, GOURSAUD Benjamin |
[4] "A configurable reluctance network model for the study of large power and distribution transformers ISEF 2019 - 19th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering, Nancy 2019, FRANCE, 08/2019 NAÏDJATE Mohammed, BRACIKOWSKI Nicolas, HECQUET Michel, FRATILA Mircea, MARTINEZ A, DUCREUX Jean-Pierre |
[5] Reduced order model coupling with power system simulation software EMF 2018, Darmstadt, Germany, 04/2018 PIERQUIN Antoine, HENNERON Thomas, EL AKOUM Ali, FRATILA Mircea |
[6] Calculation of Iron loss in Solid Rotor Induction Machine using FEM Compumag 2013, Budapest, Hungary, 07/2013, Abstract FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm, DESSOUDE Maxime |
This paper presents a study on iron loss estimation for a solid rotor induction motor fed by Pulse Width Modulated (PWM) supply. The iron losses are often determined using an a posteriori method that can lead to more or less important deviations, compared with measurements, depending on the used models and implementation techniques. The methodology proposed here consists in computing the iron loss with an analytical method implemented in a post-processing of a 2D finite-element analysis. Different implementation techniques are used in order to investigate the impact of the model on the total iron loss. |
[7] Improved iron loss calculation for non-centered minor loops EPNC 2012, Croatie, Pula, 06/2012, Abstract FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm |
Pulse width modulated (PWM) inverters are widely used to feed induction motors for variable speed applications. The use of PWM power supplies induces additional magnetic losses in the magnetic circuit of the electrical machine. In this paper a novel analytical approach is presented to account for these losses. The methodology proposed here consists in identifying the analytical method with a static Preisach hysteresis model. The Preisach model was validated by comparing it with measurements obtained from an Epstein frame. Then, the results obtained with this approach were compared with a basic analytical method that is widely used. |
[8] Stochastic post processing calculation of iron losses -Application to a PMSM EPNC 2012, Croatie, Pula, 06/2012, Abstract FRATILA Mircea, RAMAROTAFIKA Rindra, BENABOU Abdelkader, CLENET Stéphane, TOUNZI Abdelmounaïm |
This paper investigates the stochastic post-processing calculation of iron losses. Twenty eight slinky stator samples are investigated in term of iron losses variability, and stochastic model is then developed to take account of this variability. The Multivariate Gaussian distribution (MG) of the iron losses parameters is thereafter used for stochastic post-processing calculation of the density of iron losses of a PMSM, with Monte Carlo simulation method. This approach allows one to take in consideration the magnetic core variability from the iron loss point of view, for the design of electrical machine. |
[9] Investigation of the Numerical Error Influence in a 3D FE Post-Processing Iron Loss Calculation Procedure ISEM2011 Napoli, Italy, pages. 229-230, 09/2011, Abstract FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm, RAMAROTAFIKA Rindra, DESSOUDE Maxime |
Iron losses during electromechanical energy conversion devices are crucial in electrical machine design. They are often determined using an a posteriori method that can lead to more or less important deviations with regard to the experiment. These deviations can be explained both by the lack of accuracy of the iron loss model but also by the numerical modeling procedure and hypothesis. This paper investigates the impact of the numerical error on the evaluation of iron losses in an electrical machine stator. |
[10] Investigation of the impact of rotational losses in a three-phase transformer ISEF 2011 Madeira, Portugal, 09/2011, Abstract FRATILA Mircea, BENABOU Abdelkader, TOUNZI Abdelmounaïm, DESSOUDE Maxime |
When ferromagnetic materials are subject to a time varying magnetic flux, energy dissipation, known as iron loss, occurs within the material. These losses are often determined using an a posteriori method that can lead to more or less important deviations depending on the used method. In electrical machines, one has to take into account the vectorial behavior of the magnetic field that can lead to additional losses. In this work, two iron loss calculation approaches, implemented in a post processing of a 3D finite-element analysis, are used in order to investigate the impact of rotational losses in a three-phase transformer. |
[11] Non-Linear Analytical Model of a Three Phase Transformer
Based on 2D-FEM Identification of its Reluctances EPNC 2010, Essen, Allemagne, 06/2010, Abstract FRATILA Mircea, BENABOU Abdelkader, HENNERON Thomas |
This paper presents a simple model to simulate the
currents in a transformer, especially during the transient state.
The model is based on a reluctance circuit using a finite element
(FE) tool for identifying the global behaviour laws of the
transformer iron core. A three-phase three-limb transformer is
modelled to test the proposed approach. |
TH Thèse |
[1] CONTRIBUTION A LA PRISE EN COMPTE DES PERTES FER DANS LA MODELISATION DES MACHINES ELECTRIQUES PAR ELEMENTS FINIS Lille, 12/2012, URL, Abstract FRATILA Mircea |
Résumé
La prise en compte des pertes fer dans les machines électriques est une étape cruciale lors du processus de conception. L’objectif de ce travail a donc été de valider l’implémentation d’un modèle de pertes fer tout en effectuant une modélisation précise des machines électriques étudiées. Le choix s’est porté sur l’utilisation de modèles de calcul des pertes en post-traitement d’un code par éléments finis. Ainsi, différents modèles analytiques ont été comparés en régime sinusoïdal et non sinusoïdal (sans cycles mineurs) en termes de précision, afin de choisir le plus adapté pour une implantation dans code_Carmel. Par ailleurs, nous avons montré que la prise en compte des cycles mineurs peut être améliorée en remplaçant le terme classique de Steinmetz par un modèle d’hystérésis ou par un modèle analytique adapté. L’implémentation et la précision du modèle analytique ont été évaluées d’abord sur des systèmes simples puis sur plusieurs machines tournantes. La comparaison des résultats simulés avec les mesures issues des essais à vide montre une bonne concordance et démontre la capacité du modèle à estimer les pertes fer avec une bonne précision pour une large gamme de machines électriques et pour les deux types d’alimentations utilisés (sinusoïdale et MLI).
Mots-cles : pertes fer, hystérésis, modèle analytique, machines électriques, méthode des éléments finis, validation expérimentale. |
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