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RIS citation export for MOPMB070: Development of a Non-Intrusive Leak Detection Method for SRF Linacs

TY  - CONF
AU  - Pizzol, P.
AU  - Afanador, R.
AU  - Geng, R.L.
AU  - Mammosser, J.D.
AU  - Morozov, V.S.
AU  - Vandygriff, D.M.
ED  - Saito, Kenji
ED  - Xu, Ting
ED  - Sakamoto, Naruhiko
ED  - Schaa, Volker R.W.
ED  - Thomas, Paul W.
TI  - Development of a Non-Intrusive Leak Detection Method for SRF Linacs
J2  - Proc. of SRF2023, Grand Rapids, MI, USA, 25-30 June 2023
CY  - Grand Rapids, MI, USA
T2  - International Conference on RF Superconductivity
T3  - 21
LA  - english
AB  - 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.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 275
EP  - 278
KW  - cryomodule
KW  - radiation
KW  - ISOL
KW  - SRF
KW  - operation
DA  - 2023/09
PY  - 2023
SN  - 2673-5504
SN  - 978-3-95450-234-9
DO  - doi:10.18429/JACoW-SRF2023-MOPMB070
UR  - https://jacow.org/srf2023/papers/mopmb070.pdf
ER  -