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Acoustic Noise Computation of Electrical Motors Using the Boundary Element Method

Author

Listed:
  • Sabin Sathyan

    (Department of Electrical Engineering and Automation, Aalto University, PO Box, 15500 Helsinki, Finland)

  • Ugur Aydin

    (Department of Electrical Engineering and Automation, Aalto University, PO Box, 15500 Helsinki, Finland)

  • Anouar Belahcen

    (Department of Electrical Engineering and Automation, Aalto University, PO Box, 15500 Helsinki, Finland
    Department of Electrical Tallinn University of Technology Power Engineering and Mechatronics, 19086 Tallinn, Estonia)

Abstract

This paper presents a numerical method and computational results for acoustic noise of electromagnetic origin generated by an induction motor. The computation of noise incorporates three levels of numerical calculation steps, combining both the finite element method and boundary element method. The role of magnetic forces in the production of acoustic noise is established in the paper by showing the magneto-mechanical and vibro-acoustic pathway of energy. The conversion of electrical energy into acoustic energy in an electrical motor through electromagnetic, mechanical, or acoustic platforms is illustrated through numerical computations of magnetic forces, mechanical deformation, and acoustic noise. The magnetic forces were computed through 2D electromagnetic finite element simulation, and the deformation of the stator due to these forces was calculated using 3D structural finite element simulation. Finally, boundary element-based computation was employed to calculate the sound pressure and sound power level in decibels. The use of the boundary element method instead of the finite element method in acoustic computation reduces the computational cost because, unlike finite element analysis, the boundary element approach does not require heavy meshing to model the air surrounding the motor.

Suggested Citation

  • Sabin Sathyan & Ugur Aydin & Anouar Belahcen, 2020. "Acoustic Noise Computation of Electrical Motors Using the Boundary Element Method," Energies, MDPI, vol. 13(1), pages 1-13, January.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:1:p:245-:d:304890
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    Citations

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    Cited by:

    1. Anand Krishnasarma & Seyed Jamaleddin Mostafavi Yazdi & Allan Taylor & Daniel Ludwigsen & Javad Baqersad, 2021. "Acoustic Signature Analysis and Sound Source Localization for a Three-Phase AC Induction Motor," Energies, MDPI, vol. 14(21), pages 1-14, November.
    2. Dusan Maga & Jaromir Hrad & Jiri Hajek & Akeel Othman, 2021. "Application of Minimum Energy Effect to Numerical Reconstruction of Insolation Curves," Energies, MDPI, vol. 14(17), pages 1-18, August.
    3. Arkadiusz Dziechciarz & Aron Popp & Claudia Marțiș & Maciej Sułowicz, 2022. "Analysis of NVH Behavior of Synchronous Reluctance Machine for EV Applications," Energies, MDPI, vol. 15(8), pages 1-22, April.
    4. Artem Ermolaev & Vladimir Erofeev & Aleksandr Plekhov & Dmitry Titov, 2022. "Magnetic Vibration in Induction Motor Caused by Supply Voltage Distortion," Energies, MDPI, vol. 15(24), pages 1-11, December.
    5. Xiaohua Song & Jing Liu & Chaobo Chen & Song Gao, 2022. "Advanced Methods in Rotating Machines," Energies, MDPI, vol. 15(15), pages 1-3, July.
    6. Piotr Bortnowski & Anna Nowak-Szpak & Robert Król & Maksymilian Ozdoba, 2021. "Analysis and Distribution of Conveyor Belt Noise Sources under Laboratory Conditions," Sustainability, MDPI, vol. 13(4), pages 1-14, February.
    7. Patxi Gonzalez & Garikoitz Buigues & Angel Javier Mazon, 2023. "Noise in Electric Motors: A Comprehensive Review," Energies, MDPI, vol. 16(14), pages 1-22, July.

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