Development of a magnetic sensor system for predictive IASCC diagnosis on stainless steels in a nuclear reactor

Yoshiyuki Nemoto, Satoshi Keyakida, Tetsuya Uchimoto, Shigeru Takaya, Takashi Tsukada

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


The authors previously reported that magnetic flux leakage data, measured using a flux gate (FG) sensor, showed a correlation with the irradiation-assisted stress corrosion cracking (IASCC) susceptibility of neutron-irradiated austenitic stainless alloys. This paper presents a study conducted to develop a diagnostic system that can detect IASCC precursors in stainless steels by measuring the magnetic properties of the material. The eddy current method and alternating current (AC) magnetization method were used, as these will be more practical for use in actual reactors. Probes were developed for these measurement methods, providing sufficient tolerance for environments in nuclear reactors. An attempt was also made to improve spatial resolution by manufacturing a smaller probe. A sensor system was designed for remote control, performance tests were conducted by measuring neutron-irradiated specimens and mock specimens, and magnetic data were evaluated by comparing the IASCC susceptibility of the specimens. It was proved that the sensor system develope in this study is capable of detecting IASCC precursors. Further developments necessary for application in actual nuclear reactors and the mechanism of correlation between magnetic properties and IASCC susceptibility were also discussed.

Original languageEnglish
Pages (from-to)123-139
Number of pages17
JournalInternational Journal of Applied Electromagnetics and Mechanics
Issue number2
Publication statusPublished - 2011


  • austenitic stainless steel
  • irradiation
  • Nuclear reactor
  • prediction


Dive into the research topics of 'Development of a magnetic sensor system for predictive IASCC diagnosis on stainless steels in a nuclear reactor'. Together they form a unique fingerprint.

Cite this