4.7 Article

Real-time monitoring of stress corrosion cracking in 304 L stainless steel pipe using acoustic emission

期刊

JOURNAL OF NUCLEAR MATERIALS
卷 571, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jnucmat.2022.154009

关键词

Stress corrosion cracking; Acoustic emission; 304 L SS pipe; In-situ monitoring indicator; Sulfide inclusion; Non-penetration stress corrosion cracking

资金

  1. MOTIE (Ministry of Trade, Industry, and Energy) in Korea, under the Korea Institute for Ad- vancement of Technology (KIAT) (Human Resource Development Program for Industrial Innovation) [P0017306]
  2. MOTIE (Ministry of Trade, Industry, and Energy) in Korea, under the Korea Institute for Advancement of Technology (KIAT) (Human Resource Development Program for Industrial Innovation (Global) [P0017306]
  3. Global Human Resource Development for Innovative Design in Robot and Engineering) and the Korea Institute of Energy Technology Evaluation and Planning (KETEP) [P0017306]
  4. [20217710100010]
  5. Ministry of Health & Welfare (MOHW), Republic of Korea [P0017306] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

A stress corrosion cracking (SCC) monitoring indicator based on the acoustic emission (AE) technique is proposed for real-time detection and monitoring of SCC initiation in stainless steel pipes used in nuclear power plants. The indicator is developed by establishing a non-crack AE signal criterion and investigating the characteristics of AE signals responsible for cracking. The performance of the indicator is evaluated by detecting SCC in real time, and the causes of SCC propagation are analyzed using scanning electron microscopy.
A stress corrosion cracking (SCC) monitoring indicator (MI) based on the acoustic emission (AE) technique is proposed for the real-time detection and monitoring of SCC initiation in 304 L stainless steel (SS) pipes used for the primary circuits of nuclear power plants (NPPs). A device is used to accelerate the initiation of SCC to shorten the experiment timeframe. A non-crack AE signal criterion was established, which was conducted by injecting an etchant and distilled water into 304 L SS pipe specimens as experimental and control groups, respectively. Furthermore, to characterize the AE signal responsible for cracking, the char-acteristics of the AE signal measured in the section between necking and fracture (where cracks occur and propagate) among the stress curves obtained from the 304 L SS tensile test using AE sensors were investigated. Subsequently, the maximum amplitude, energy, frequency characteristics (range and magni-tude), and waveform of the remaining AE signals were investigated after removing some AE signals by applying the non-crack AE signal criterion in the experiment where the SCC penetrated the pipe. These were compared with the maximum amplitude, energy, frequency characteristics, and waveform which were investigated in the tensile test to derive common characteristics for the two sets of crack signals to establish an SCC MI. To evaluate the performance of the developed SCC MI, the SCC monitoring experi-ment was halted when AE signals corresponding to the SCC MI criteria were measured, to fabricate a pipe wherein non-penetrating SCC was formed. In this manner, by applying the SCC MI to detect SCC in real time, we verified that the SCC MI had excellent SCC detection performance. Furthermore, we performed scanning electron microscopy (SEM) image analyses and SEM-energy dispersive X-ray spectrometry anal-yses to investigate the causes of SCC propagation.(c) 2022 Elsevier B.V. All rights reserved.

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