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Residual lifetime assessment of cold-reheater pipe in coal-fired power plant through accelerated degradation test

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  • Kim, Myung-Yeon
  • Chu, Dong-Ju
  • Lee, Young-Kook
  • Shim, Jae-Hyeok
  • Jung, Woo-Sang

Abstract

Non-destructive testing (NDT) is the process of evaluating and inspecting materials without damage. The purpose of present study is to evaluate the residual lifetime of materials by proposing a new concept of non-destructive testing. The residual lifetime of service-exposed 1.25Cr-0.5Mo (P11) steel cold-reheater pipes in a coal-fired power plant, which were used for approximately 23 years at 310 °C, was investigated with accelerated degradation tests of a fresh P11 steel. The hardness and the microstructure of the P11 steel aged at 550 °C for 1000 h were similar to those of the service-exposed cold-reheater pipe. The creep-rupture tests of the steel aged at 550 °C for 1000 h were performed under various temperature and stress conditions together with the fresh steel. The creep-rupture properties analyzed using a Larson–Miller parameter (LMP) approach suggested that the residual lifetime of the service-exposed pipes is approximately 53% at the current conditions. The proposed methodology is expected to serve as a useful tool to check the timing of materials replacement and to maintain safety in a coal-fired power plant.

Suggested Citation

  • Kim, Myung-Yeon & Chu, Dong-Ju & Lee, Young-Kook & Shim, Jae-Hyeok & Jung, Woo-Sang, 2019. "Residual lifetime assessment of cold-reheater pipe in coal-fired power plant through accelerated degradation test," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 330-335.
    • Handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:330-335
    DOI: 10.1016/j.ress.2019.03.043
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    Cited by:

    1. Fan, Xudong & Wang, Xiaowei & Zhang, Xijin & ASCE Xiong (Bill) Yu, P.E.F., 2022. "Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Cheng, Yao & Liao, Haitao & Huang, Zhiyi, 2021. "Optimal degradation-based hybrid double-stage acceptance sampling plan for a heterogeneous product," Reliability Engineering and System Safety, Elsevier, vol. 210(C).

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