Thermal model of through flow universal motor by means of lumped parameter network
(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:
https://lup.lub.lu.se/record/8a351ace-7fdd-46bf-81c3-bdc526cb35fa
- author
- Benedik, Blaž ; Duhovnik, Jože ; Rihtaršič, Janez and Tavčar, Jože LU
- publishing date
- 2017-04
- 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}}, }