Conjugate Heat Transfer Model for an Induction Motor and Its Adequate FEM Model

Author:

Gebauer Marek1ORCID,Blejchař Tomáš1,Brzobohatý Tomáš1,Nevřela Miroslav2

Affiliation:

1. IT4Innovations, VSB—Technical University of Ostrava, 17. listopadu 15/2172, 70800 Ostrava, Czech Republic

2. Siemens Electric Machines s.r.o., Markova 952, 74401 Frenštát pod Radhoštěm, Czech Republic

Abstract

The primary objective of the research presented in this paper was to design a methodology for analyzing the thermal field of an induction motor that would be of higher fidelity but less time- and cost-consuming and that would deal with air-cooled induction motors of all sizes. The complexity of the simulation is increased by the geometric asymmetry and by the asymmetric character of flow cooling the motor casing caused by the fan’s rotation. This increases demand, especially on computational resources, as creating a simplified numerical model using symmetry boundary conditions is impossible. The new methodology uses the existing findings from many partial articles and literature, which are modified into more accurate relationships suitable for predicting the external thermal field of induction motors. That way, we do not have to solve the thermal field by the conjugate heat transfer method, and it is possible to assess temperature gradients over the entire range. Furthermore, a new relationship between shear strain rate and thermal contact conductivity has been discovered that allows solving heat transfer of fluid adjacent to the internal walls of an induction motor at any location. That approach has not yet been published in the literature, so it can be considered a new method to simplify heat transfer simulation. An experimentally validated new methodology of the induction motor was performed. The so-called digital twin will be used for the virtual optimization of the new designs concerning minimizing losses and maximizing efficiency.

Funder

Ministry of Industry and Trade Czech Republic

Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ

Publisher

MDPI AG

Subject

Physics and Astronomy (miscellaneous),General Mathematics,Chemistry (miscellaneous),Computer Science (miscellaneous)

Reference46 articles.

1. Touhami, S., Bertin, Y., Lefèvre, Y., Llibre, J.-F., Hénaux, C., and Fénot, M. (2017). Lumped Parameter Thermal Model of Permanent Magnet Synchronous Machines, Electrimacs.

2. Anderson, J.D. (1995). Computational Fluid Dynamics. The Basics with Applications, McGraw-Hill.

3. Klimenta, D.O., and Hannukainen, A. (2017). An Approximate Estimation of Velocity Profiles and Turbulence Factor, Thermal Science.

4. Heiles, F. Design and Arrangement of Cooling Fins, Elecktrotecknik and Maschinenbay, July 1952; Volume 69, No. 14.

5. Wilcox, D.C. (2006). Turbulence Modeling for CFD, DCW Industries. [3rd ed.].

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Numerical Modeling of a Temperature and Cooling Medium Distribution in a Three-Phase Induction Motor;2023 IEEE 5th International Conference on Modern Electrical and Energy System (MEES);2023-09-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3