Analysis of Electric Motor Magnetic Core Loss under Axial Mechanical Stress.

ansys maxwell software axial pressure iron loss magnetic core mechanical stress

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
29 Nov 2020
Historique:
received: 20 10 2020
revised: 15 11 2020
accepted: 20 11 2020
entrez: 2 12 2020
pubmed: 3 12 2020
medline: 3 12 2020
Statut: epublish

Résumé

The electrical machine core is subjected to mechanical stresses during manufacturing processes. These stresses include radial, circumferential and axial components that may have significant influence on the magnetic properties and it further leads to increase in iron loss and permeability in the stator core. In this research work, analysis of magnetic core iron loss under axial mechanical stress is investigated. The magnetic core is designed with Magnetic Flux Density (MF) ranging from 1.0 T to 1.5 T with estimated dimensions under various input voltages from 5 V to 85 V. Iron losses are predicted by the axial pressure created manually wherever required and is further applied to the designed magnetic core in the range of 5 MPa to 50 MPa. Finite element analysis is employed to estimate the magnetic core parameters and the magnetic core dimensions. A ring core is designed with the selected dimensions for the experimental evaluation. The analysis of iron loss at 50Hz frequency for non-oriented electrical steel of M400-50A is tested experimentally using the Epstein frame test and force-fit setup test. Experimental evaluation concludes that the magnetic core saturates when it reaches its knee point of the B-H curve of the chosen material and also reveals that the axial pressure has a high impact on the magnetic properties of the material.

Identifiants

pubmed: 33260295
pii: s20236818
doi: 10.3390/s20236818
pmc: PMC7729441
pii:
doi:

Types de publication

Letter

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Research Foundation of Korea
ID : NRF-2018R1A6A1A03025109

Références

Sensors (Basel). 2016 Jun 04;16(6):
pubmed: 27271637
Sensors (Basel). 2020 Mar 05;20(5):
pubmed: 32150905
Materials (Basel). 2020 Sep 30;13(19):
pubmed: 33008021
Materials (Basel). 2020 Oct 15;13(20):
pubmed: 33076227

Auteurs

L Ashok Kumar (LA)

PSG College of Technology, Coimbatore 641004, India.

Bagianathan Madhan Raj (B)

Specialist Motors, ELGI Equipment Ltd., Coimbatore 641005, India.

Varadarajan Vijayakumar (V)

Department School of Computer Science and Engineering, The University of New South Wales, Sydney, NSW 2052, Australia.

Vairavasundaram Indragandhi (V)

Vellore Institute of Technology, Vellore 632014, India.

Vairavasundaram Subramaniyaswamy (V)

School of Computing, SASTRA Deemed University, Thanjavur 613401, India.

Hamid R Karimi (HR)

Department of Mechanical Engineering, Politecnico di Milano, 20156 Milan, Italy.

Kalyana C Veluvolu (KC)

School of Electronics Engineering, Kyungpook National University, Daegu 41566, Korea.

Classifications MeSH