Analysis of Oil Viscous Drag Loss of Deep-sea Motor Based on CFD Method

  • Jiatong Liu
  • , Liang Yan*
  • , Xinghua He
  • , Yuchen Zhou
  • , Zihao Yu
  • *Corresponding author for this work

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

Abstract

Oil viscous drag loss needs to be taken into consideration in the design of deep-sea oil-filled motors. There are many factors affecting viscous drag loss and the analytical formula of oil viscous drag loss is not suitable for the calculation of turbulent flow field. Based on the above problems, a CFD model of the air gap flow field is established in this paper and the influence of air-gap thickness, speed of motor, viscosity of oil, and rotor eccentricity on oil viscous drag loss is analyzed. The results show that oil viscous drag loss is negatively correlated with air gap thickness, temperature and positively correlated with rotor eccentricity and motor speed.

Original languageEnglish
Title of host publicationICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications
EditorsWenxiang Xie, Shibin Gao, Xiaoqiong He, Xing Zhu, Jingjing Huang, Weirong Chen, Lei Ma, Haiyan Shu, Wenping Cao, Lijun Jiang, Zeliang Shu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1289-1293
Number of pages5
ISBN (Electronic)9781665409841
DOIs
StatePublished - 2022
Event17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022 - Chengdu, China
Duration: 16 Dec 202219 Dec 2022

Publication series

NameICIEA 2022 - Proceedings of the 17th IEEE Conference on Industrial Electronics and Applications

Conference

Conference17th IEEE Conference on Industrial Electronics and Applications, ICIEA 2022
Country/TerritoryChina
CityChengdu
Period16/12/2219/12/22

Keywords

  • computational fluid dynamics (CFD)
  • dynamic viscosity
  • oil-filled motor
  • rotor eccentricity
  • viscous drag loss

Fingerprint

Dive into the research topics of 'Analysis of Oil Viscous Drag Loss of Deep-sea Motor Based on CFD Method'. Together they form a unique fingerprint.

Cite this