Review of the analytical flow model to predict the hydraulic behaviour in electrical machine

Payam Shams Ghahfarokhi; Ants Kallaste; Toomas Vaimann; Anouar Belahcen

doi:10.1109/PQ.2019.8818271

Review of the analytical flow model to predict the hydraulic behaviour in electrical machine

Payam Shams Ghahfarokhi, Ants Kallaste, Toomas Vaimann, Anouar Belahcen

Tallinn University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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Abstract

This paper considers the analytical flow analysis for the through-flow ventilated electrical machine to predict the airflow rate in the different sections of the machine. This method can be applied to other types of air forced cooling electrical machine. For these purposes, the airflow paths are modeled by flow resistance network. The developing of the flow resistance network and calculating the flow resistances are described in details.

Original language	English
Title of host publication	Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	9781728126500
DOIs	https://doi.org/10.1109/PQ.2019.8818271
Publication status	Published - 1 Jun 2019
MoE publication type	A4 Article in a conference publication
Event	Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics - Kärdla, Estonia Duration: 12 Jun 2019 → 15 Jun 2019

Conference

Conference	Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics
Abbreviated title	PQ/SEEM
Country/Territory	Estonia
City	Kärdla
Period	12/06/2019 → 15/06/2019

Keywords

Analytical model
Electrical machine
Flow network analysis
Hydraulic resistances
Minor loss factor

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10.1109/PQ.2019.8818271

ELEC_Ghahfarokhi_etal_Review_of-the-Analytical_PQ_SEEM_2019_authoracceptedmanuscriptAccepted author manuscript, 479 KB

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title = "Review of the analytical flow model to predict the hydraulic behaviour in electrical machine",

abstract = "This paper considers the analytical flow analysis for the through-flow ventilated electrical machine to predict the airflow rate in the different sections of the machine. This method can be applied to other types of air forced cooling electrical machine. For these purposes, the airflow paths are modeled by flow resistance network. The developing of the flow resistance network and calculating the flow resistances are described in details.",

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Ghahfarokhi, PS, Kallaste, A, Vaimann, T & Belahcen, A 2019, Review of the analytical flow model to predict the hydraulic behaviour in electrical machine. in Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019., 8818271, IEEE, Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, Kärdla, Estonia, 12/06/2019. https://doi.org/10.1109/PQ.2019.8818271

Review of the analytical flow model to predict the hydraulic behaviour in electrical machine. / Ghahfarokhi, Payam Shams; Kallaste, Ants; Vaimann, Toomas et al.

Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019. IEEE, 2019. 8818271.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - This paper considers the analytical flow analysis for the through-flow ventilated electrical machine to predict the airflow rate in the different sections of the machine. This method can be applied to other types of air forced cooling electrical machine. For these purposes, the airflow paths are modeled by flow resistance network. The developing of the flow resistance network and calculating the flow resistances are described in details.

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KW - Flow network analysis

KW - Hydraulic resistances

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Review of the analytical flow model to predict the hydraulic behaviour in electrical machine

Abstract

Conference

Keywords

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