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Insulation Degradation Analysis Due to Thermo-Mechanical Stress in Deep-Sea Oil-Filled Motors

Author

Listed:
  • Jian Zhang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Rui Wang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Youtong Fang

    (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

  • Yuan Lin

    (Institute of Ocean Engineering and Technology, Ocean College, Zhejiang University, Zhoushan 316021, China)

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.

Suggested Citation

  • Jian Zhang & Rui Wang & Youtong Fang & Yuan Lin, 2022. "Insulation Degradation Analysis Due to Thermo-Mechanical Stress in Deep-Sea Oil-Filled Motors," Energies, MDPI, vol. 15(11), pages 1-16, May.
  • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:3963-:d:825944
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    Citations

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    Cited by:

    1. Jian Zhang & Yinxun Shao & Yinxin Long & Xiangning He & Kangwen Wu & Lingfeng Cai & Jianwei Wu & Youtong Fang, 2024. "Methods for the Viscous Loss Calculation and Thermal Analysis of Oil-Filled Motors: A Review," Energies, MDPI, vol. 17(18), pages 1-21, September.
    2. Adam Decner & Marcin Baranski & Tomasz Jarek & Sebastian Berhausen, 2022. "Methods of Diagnosing the Insulation of Electric Machines Windings," Energies, MDPI, vol. 15(22), pages 1-24, November.

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