Thermal modelling of tubular linear machines using a hybrid analytical method

S. Ouagued, A. Ben Hamida, Y. Amara, G. Barakat, J.J.H. Paulides

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

4 Citations (Scopus)

Abstract

The aim of this paper is to apply a hybrid analytical method (HAM) for the thermal modelling of tubular linear machines. This technique has been successfully applied for the electromagnetic modelling of electrical machines and it gives relatively good results as compared to finite element method (FEM). The HAM is based on the coupling of a macro-element, based on the analytical solution of heat equation, for the mechanical air-gap with a mesh based generated lumped parameter thermal model for the rest of the studied structure. In order to validate the proposed modelling approach, results issued for the HAM are compared to corresponding results obtained from a FE analysis. This modelling approach should constitute a useful tool for the pre-design of electrical machines.
Original languageEnglish
Title of host publication2015 International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)978-1-4673-9529-8
DOIs
Publication statusPublished - 4 Feb 2016
EventInternational Conference On Sustainable Mobility Applications Renewables And Technology (SMART2015), November 23-25, 2015, Kuwait City - Australian College of Kuwait, Kuwait City, Kuwait, Kuwait
Duration: 23 Nov 201525 Nov 2015
http://www.smart2015-ack.com/home.php

Conference

ConferenceInternational Conference On Sustainable Mobility Applications Renewables And Technology (SMART2015), November 23-25, 2015, Kuwait City
Abbreviated titleSMART2015
Country/TerritoryKuwait
CityKuwait City, Kuwait
Period23/11/1525/11/15
Internet address

Keywords

  • thermal
  • linear

Fingerprint

Dive into the research topics of 'Thermal modelling of tubular linear machines using a hybrid analytical method'. Together they form a unique fingerprint.

Cite this