Author: Morozov, V.S.
Paper Title Page
MOPMB070 Development of a Non-Intrusive Leak Detection Method for SRF Linacs 275
 
  • P. Pizzol, R.L. Geng
    ORNL, Oak Ridge, Tennessee, USA
  • R. Afanador, J.D. Mammosser, V.S. Morozov, D.M. Vandygriff
    ORNL RAD, Oak Ridge, Tennessee, USA
 
  The SNS accelerator has been vital in delivering high-impact research for the world scientific community since 2006, with an availability of 99%. This high availability rate is crucial to the success of the facility, and after 16 years of operations, the aging of the components could start to impact this parameter. To mitigate this, condi-tion-based maintenance can be applied to areas of the LINAC to reduce or nullify the possibility of unwanted events that may damage the accelerator functionality. In this work, we describe the development of a non-intrusive leak detection methodology that verifies the health condition of the cryomodule isolation gate valve seals. In case of a sudden vacuum leak in a warm section between the cryomodules, these valves act as a final line of defense to protect the SRF cavities from atmosphere gases contamination, hence knowing their sealing integ-rity condition is paramount. Data taken from the ma-chine during different maintenance periods will be pre-sented, together with the analysis done, to verify the robustness of the numerical method vs. the experimental findings.  
DOI • reference for this paper ※ doi:10.18429/JACoW-SRF2023-MOPMB070  
About • Received ※ 16 June 2023 — Revised ※ 27 June 2023 — Accepted ※ 28 June 2023 — Issue date ※ 02 July 2023
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