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Thermal model of through flow universal motor by means of lumped parameter network

Benedik, Blaž ; Duhovnik, Jože ; Rihtaršič, Janez and Tavčar, Jože LU (2017) In Tehnicki Vjesnik 24(2). p.405-412
Abstract

Being able to predict temperature rise inside a machine is as important as predicting its performance and life. Because temperature measurements and computational thermal simulations can be time consuming, thermal paths inside the through-flow universal motor were described by means of simple lumped parameter thermal network. Once the model was built, its unknown convection coefficients were tuned with the genetic algorithm tool in MatLab. The model has been applied and successfully verified with measurements on two different types of a vacuum cleaner motor. Taking account of impeller losses as one of the model inputs makes temperature estimates more accurate regardless of machine’s operational regime.

Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Genetic algorithm, Lumped parameter network, Open-circuit cooling, Steady-state thermal model, Universal motor, Vacuum cleaner motor
in
Tehnicki Vjesnik
volume
24
issue
2
pages
8 pages
publisher
Strojarski Facultet, Sveuciliste Josipa Jurja Strossmayera u Osijeki
external identifiers
  • scopus:85017625221
ISSN
1330-3651
DOI
10.17559/TV-20161115224752
language
English
LU publication?
no
id
8a351ace-7fdd-46bf-81c3-bdc526cb35fa
date added to LUP
2020-12-15 16:58:18
date last changed
2022-04-19 02:56:17
@article{8a351ace-7fdd-46bf-81c3-bdc526cb35fa,
  abstract     = {{<p>Being able to predict temperature rise inside a machine is as important as predicting its performance and life. Because temperature measurements and computational thermal simulations can be time consuming, thermal paths inside the through-flow universal motor were described by means of simple lumped parameter thermal network. Once the model was built, its unknown convection coefficients were tuned with the genetic algorithm tool in MatLab. The model has been applied and successfully verified with measurements on two different types of a vacuum cleaner motor. Taking account of impeller losses as one of the model inputs makes temperature estimates more accurate regardless of machine’s operational regime.</p>}},
  author       = {{Benedik, Blaž and Duhovnik, Jože and Rihtaršič, Janez and Tavčar, Jože}},
  issn         = {{1330-3651}},
  keywords     = {{Genetic algorithm; Lumped parameter network; Open-circuit cooling; Steady-state thermal model; Universal motor; Vacuum cleaner motor}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{405--412}},
  publisher    = {{Strojarski Facultet, Sveuciliste Josipa Jurja Strossmayera u Osijeki}},
  series       = {{Tehnicki Vjesnik}},
  title        = {{Thermal model of through flow universal motor by means of lumped parameter network}},
  url          = {{http://dx.doi.org/10.17559/TV-20161115224752}},
  doi          = {{10.17559/TV-20161115224752}},
  volume       = {{24}},
  year         = {{2017}},
}