Advertisement

Transactions of the Indian Institute of Metals

, Volume 72, Issue 11, pp 2965–2970 | Cite as

Nondestructive Evaluation for Detection of Voids in Sodium-Bonded Metallic Fuel Pins

  • S. ThirunavukkarasuEmail author
  • T. Saravanan
  • B. Purna Chandra Rao
  • C. K. Mukhopadhyay
Technical Paper
  • 32 Downloads

Abstract

Nondestructive detection of sodium-free regions (voids) in metallic fuel pins is necessary for their safe and reliable operation. Eddy current and X-radiography nondestructive evaluation techniques were employed for detection of voids in experimental fuel pins. Detailed finite element model-based investigations and radiography intensity profile analysis were carried out to understand the signatures to ensure that the signals are due to voids. In addition to enabling the detection of sodium voids in metallic fuel pins, NDE studies aided in optimizing the sodium filling process and were helpful in finding out the adequacy of the heat treatment during filling process.

Keywords

Sodium Eddy current Radiography Voids Metallic fuel pins 

Notes

References

  1. 1.
    Chang Y I L, Nucl Eng Technol 39 (2007) 161.CrossRefGoogle Scholar
  2. 2.
    Gras Ch, and Stanley S J, Ann Nucl Energy 35 (2008) 829.CrossRefGoogle Scholar
  3. 3.
    Saravanan T, Arunmuthu K, Lahiri B B, Bagavathiappan S, Venkiteswaran C N, Philip J, Divakar R, Joseph J, and Jayakumar T., Ann Nucl Energy 83 (2015) 8.CrossRefGoogle Scholar
  4. 4.
    Jayaraj V V, Thirunavukkarasu S, Anandaraj V, Ojha B K, Kumar R V, Vinodkumar S, Padalakshmi M, Padmaprabu C, Venkiteswaran C N, Karthik V, Divakar R, Rao B P C, and Joseph J, J Nucl Mater  https://doi.org/10.1016/j.jnucmat.2018.06.001.CrossRefGoogle Scholar
  5. 5.
    Cameron T C, and Hessler N F, Assembling, sodium bonding and bond testing of EBR-II fuel rods ANL report, UAC 5419, dated 13.07.1961.Google Scholar

Copyright information

© The Indian Institute of Metals - IIM 2019

Authors and Affiliations

  1. 1.Indira Gandhi Centre for Atomic ResearchKalpakkamIndia

Personalised recommendations