LAPSE:2023.12770
Published Article

LAPSE:2023.12770
Insulation Degradation Analysis Due to Thermo-Mechanical Stress in Deep-Sea Oil-Filled Motors
February 28, 2023
Abstract
With the wide application of motors in deep sea exploration, deep-sea motors require a higher power density and a longer lifetime. Motor lifetime mainly depends on the thermo-mechanical stress (TMS) load on its stator insulation. Unlike normal motors, deep-sea motors are usually filled with oil to compensate for the high pressure generated by seawater, which leads to high additional viscous drag loss. This, combined with the high pressure, will greatly change the TMS distribution and further influence motor insulation lifetime. Thus, the insulation degradation analysis of deep-sea oil-filled (DSOF) motors due to TMS has become important. This paper presents a TMS analytical model of DSOF motor insulation, considering the joint effects of high pressure and motor temperature. The CFD method is adopted to perform motor thermal analysis, considering temperature effects on viscous drag loss. The FEA method is adopted for thermo-mechanical analysis and to verify the analytical model accuracy. Rainflow counting and the Miner fatigue method are adopted to evaluate motor lifetime. Results show that compared with motors working in normal environments, TMS on DSOF motor insulation can be reduced by up to 59.5% due to high pressure and the insulation lifetime can be increased by up to 16.02%. Therefore, this research can provide references for high power density DSOF motor design.
With the wide application of motors in deep sea exploration, deep-sea motors require a higher power density and a longer lifetime. Motor lifetime mainly depends on the thermo-mechanical stress (TMS) load on its stator insulation. Unlike normal motors, deep-sea motors are usually filled with oil to compensate for the high pressure generated by seawater, which leads to high additional viscous drag loss. This, combined with the high pressure, will greatly change the TMS distribution and further influence motor insulation lifetime. Thus, the insulation degradation analysis of deep-sea oil-filled (DSOF) motors due to TMS has become important. This paper presents a TMS analytical model of DSOF motor insulation, considering the joint effects of high pressure and motor temperature. The CFD method is adopted to perform motor thermal analysis, considering temperature effects on viscous drag loss. The FEA method is adopted for thermo-mechanical analysis and to verify the analytical model accuracy. Rainflow counting and the Miner fatigue method are adopted to evaluate motor lifetime. Results show that compared with motors working in normal environments, TMS on DSOF motor insulation can be reduced by up to 59.5% due to high pressure and the insulation lifetime can be increased by up to 16.02%. Therefore, this research can provide references for high power density DSOF motor design.
Record ID
Keywords
CFD analysis, insulation degradation, oil-filled motor, thermo-mechanical stress, viscous loss
Subject
Suggested Citation
Zhang J, Wang R, Fang Y, Lin Y. Insulation Degradation Analysis Due to Thermo-Mechanical Stress in Deep-Sea Oil-Filled Motors. (2023). LAPSE:2023.12770
Author Affiliations
Zhang J: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China [ORCID]
Wang R: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Fang Y: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Lin Y: Institute of Ocean Engineering and Technology, Ocean College, Zhejiang University, Zhoushan 316021, China [ORCID]
Wang R: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Fang Y: College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
Lin Y: Institute of Ocean Engineering and Technology, Ocean College, Zhejiang University, Zhoushan 316021, China [ORCID]
Journal Name
Energies
Volume
15
Issue
11
First Page
3963
Year
2022
Publication Date
2022-05-27
ISSN
1996-1073
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Original Submission
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PII: en15113963, Publication Type: Journal Article
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LAPSE:2023.12770
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https://doi.org/10.3390/en15113963
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Feb 28, 2023
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