Sökning: WFRF:(Lopez Arteaga Ines) >
Modelling framework...
Modelling framework for electromagnetic noise generation from traction motors
-
- Botling, Fredrik (författare)
- KTH,MWL Marcus Wallenberg Laboratoriet
-
- Lopez Arteaga, Ines (författare)
- KTH,MWL Marcus Wallenberg Laboratoriet
-
- Leth, Siv (författare)
- KTH,MWL Marcus Wallenberg Laboratoriet
-
(creator_code:org_t)
- 2018-05-20
- 2016
- Engelska.
-
Ingår i: Journal of Notes on Numerical Fluid Mechanics and Multidisciplinary Design. - Cham : Springer Nature. - 1612-2909.
- Relaterad länk:
-
https://urn.kb.se/re...
-
visa fler...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- Electromagnetic noise from traction motors is often the single most dominating noise source from trains at low trainspeeds. This electromagnetic noise is tonal and annoying for both passengers on the train and people near the track andon the platform. A thorough understanding of the cause and the prediction of the electromagnetic noise is needed to beable to design low noise components. This paper describes a real time multi-physics modelling framework forprediction of the audible electromagnetic noise generated by traction motors fed by power converters. The cause of theelectromagnetic noise is influenced by several different domains. To be able to fully simulate the final acoustic sound,all these domains needs to be modelled and simulated together. Simulations of some relevant operational conditionsfor acoustic noise generation has been performed and discussed. Some of these results have been compared to realmeasurements from a converter fed traction motor.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Maskinteknik -- Strömningsmekanik och akustik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Mechanical Engineering -- Fluid Mechanics and Acoustics (hsv//eng)
Publikations- och innehållstyp
- vet (ämneskategori)
- art (ämneskategori)
Hitta via bibliotek
Till lärosätets databas