SRF2023 - List of Authors (Pizzol, P.)

Paper	Title	Page
MOIXA03	Proton Power Upgrade Project Progress and Plans at the Spallation Neutron Source in Oak Ridge Tennessee	25
	J.D. Mammosser, M.J. Dayton, D.D. Kraft, R. Maekawa, L. Pinion, B.E. Robertson ORNL RAD, Oak Ridge, Tennessee, USA R. Afanador, D.L. Barnhart, M.S. Champion, B. DeGraff, M. Doleans, J. Galambos, S.W. Gold, M.N. Greenwood, G.A. Hine, M.P. Howell, S.-H. Kim, C.J. McMahan, P. Pizzol, S.E. Stewart, D.J. Vandygriff, D.M. Vandygriff ORNL, Oak Ridge, Tennessee, USA A. Bitter, K.B. Bolz, A. Navitski, L. Zweibäumer RI Research Instruments GmbH, Bergisch Gladbach, Germany E.F. Daly, G.K. Davis, P. Dhakal, J.F. Fischer, D. Forehand, N.A. Huque, K.M. Wilson JLab, Newport News, Virginia, USA
	Funding: Work Supported by UT-Battelle, LLC, under contract DE-AC05-00OR22725 The Proton Power Upgrade project is well underway at the Spallation Neutron Source (SNS) facility in Oak Ridge, Tennessee. This project aims at increasing the proton beam power capability from 1.4 to 2.8 MW, by adding linac energy, increasing the beam current and implementing target developments to handle the increased beam power. This talk will cover the current status of increasing the beam energy, issues encountered along the way, operational experience with the new SRF cryomodules and target improvements and results from operation with beam so far.
	Slides MOIXA03 [3.327 MB]
DOI •	reference for this paper ※ doi:10.18429/JACoW-SRF2023-MOIXA03
About •	Received ※ 09 June 2023 — Revised ※ 25 June 2023 — Accepted ※ 29 June 2023 — Issue date ※ 08 July 2023
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

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
Cite •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Proton Power Upgrade Project Progress and Plans at the Spallation Neutron Source in Oak Ridge Tennessee

25

J.D. Mammosser, M.J. Dayton, D.D. Kraft, R. Maekawa, L. Pinion, B.E. Robertson
ORNL RAD, Oak Ridge, Tennessee, USA
R. Afanador, D.L. Barnhart, M.S. Champion, B. DeGraff, M. Doleans, J. Galambos, S.W. Gold, M.N. Greenwood, G.A. Hine, M.P. Howell, S.-H. Kim, C.J. McMahan, P. Pizzol, S.E. Stewart, D.J. Vandygriff, D.M. Vandygriff
ORNL, Oak Ridge, Tennessee, USA
A. Bitter, K.B. Bolz, A. Navitski, L. Zweibäumer
RI Research Instruments GmbH, Bergisch Gladbach, Germany
E.F. Daly, G.K. Davis, P. Dhakal, J.F. Fischer, D. Forehand, N.A. Huque, K.M. Wilson
JLab, Newport News, Virginia, USA

Funding: Work Supported by UT-Battelle, LLC, under contract DE-AC05-00OR22725
The Proton Power Upgrade project is well underway at the Spallation Neutron Source (SNS) facility in Oak Ridge, Tennessee. This project aims at increasing the proton beam power capability from 1.4 to 2.8 MW, by adding linac energy, increasing the beam current and implementing target developments to handle the increased beam power. This talk will cover the current status of increasing the beam energy, issues encountered along the way, operational experience with the new SRF cryomodules and target improvements and results from operation with beam so far.

Slides MOIXA03 [3.327 MB]

DOI •

reference for this paper ※ doi:10.18429/JACoW-SRF2023-MOIXA03

About •

Received ※ 09 June 2023 — Revised ※ 25 June 2023 — Accepted ※ 29 June 2023 — Issue date ※ 08 July 2023

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

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

Cite •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)