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 article in proceedings › Scientific › peer-review

129 Downloads (Pure)

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 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

Access to Document

10.1109/PQ.2019.8818271

ELEC_Ghahfarokhi_etal_Review_of-the-Analytical_PQ_SEEM_2019_authoracceptedmanuscriptAccepted author manuscript, 479 KB

Cite this

@inproceedings{6805ee6276434ffdb9f7780d9beaa072,

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.",

keywords = "Analytical model, Electrical machine, Flow network analysis, Hydraulic resistances, Minor loss factor",

author = "Ghahfarokhi, {Payam Shams} and Ants Kallaste and Toomas Vaimann and Anouar Belahcen",

year = "2019",

month = jun,

day = "1",

doi = "10.1109/PQ.2019.8818271",

language = "English",

booktitle = "Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019",

publisher = "IEEE",

address = "United States",

note = "Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ/SEEM ; Conference date: 12-06-2019 Through 15-06-2019",

}

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 article in proceedings › Scientific › peer-review

TY - GEN

T1 - Review of the analytical flow model to predict the hydraulic behaviour in electrical machine

AU - Ghahfarokhi, Payam Shams

AU - Kallaste, Ants

AU - Vaimann, Toomas

AU - Belahcen, Anouar

PY - 2019/6/1

Y1 - 2019/6/1

N2 - 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.

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.

KW - Analytical model

KW - Electrical machine

KW - Flow network analysis

KW - Hydraulic resistances

KW - Minor loss factor

UR - http://www.scopus.com/inward/record.url?scp=85072777431&partnerID=8YFLogxK

U2 - 10.1109/PQ.2019.8818271

DO - 10.1109/PQ.2019.8818271

M3 - Conference article in proceedings

BT - Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics, PQ and SEEM 2019

PB - IEEE

T2 - Electric Power Quality and Supply Reliability Conference and Symposium on Electrical Engineering and Mechatronics

Y2 - 12 June 2019 through 15 June 2019

ER -

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this