e-NVH response synthesis of electric motors based on stator teeth FRF measurements
العنوان: | e-NVH response synthesis of electric motors based on stator teeth FRF measurements |
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المؤلفون: | Karine Degrendele, Raphael Pile, Emile Devillers, Jean Le Besnerais |
المصدر: | International Journal of Applied Electromagnetics and Mechanics. 64:S143-S154 |
بيانات النشر: | IOS Press, 2021. |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Physics, Electric motor, Mechanics of Materials, Stator, law, Mechanical Engineering, Noise, vibration, and harshness, Electrical and Electronic Engineering, Condensed Matter Physics, Automotive engineering, Electronic, Optical and Magnetic Materials, law.invention |
الوصف: | The analysis of noise and vibrations under electromagnetic excitations (e-NVH) in electrical machines requires to study the stator mechanical response when excited by Maxwell stress waves. In particular, the notion of unit-wave Frequency Response Function (FRF) is often used in e-NVH simulations to model the mechanical response under electromagnetic excitations and troubleshoot noise issues. However, it is not possible to directly measure the unit-wave FRF on the electrical machines and validate the model. Instead, the Experimental Modal Analysis (EMA) is often compared to a Finite Element (FE) model in order to fit the numerical parameters (damping, boundary conditions, etc.). This paper is presenting a complementary approach to fully numerical e-NVH analysis. It is a new hybrid methodology based on experiments for the mechanical FRF and simulation for the magnetic excitations. This is performed with dedicated experimental measurements and post-processing. The new methodology builds an equivalent unit-wave FRF from experimental measurements. The methodology is validated with the diagnose of electromagnetic noise issues for an experimental benchmark Surface Permanent Magnet Synchronous Machine (SPMSM). |
تدمد: | 1875-8800 1383-5416 |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::6f8ff20f36cb465334589f579268b8ef https://doi.org/10.3233/jae-209511 |
رقم الأكسشن: | edsair.doi...........6f8ff20f36cb465334589f579268b8ef |
قاعدة البيانات: | OpenAIRE |
تدمد: | 18758800 13835416 |
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