First Principles Modeling of RFQ Cooling System and Resonant Frequency Responses for Fermilab’s PIP-II Injector Test
Abstract
In this study we develop an a priori method for simulating dynamic resonant frequency and temperature responses in a radio frequency quadrupole (RFQ) and its associated water-based cooling system respectively. Our model provides a computationally efficient means to evaluate the transient response of the RFQ over a large range of system parameters. The model was constructed prior to the delivery of the PIP-II Injector Test RFQ and was used to aid in the design of the water-based cooling system, data acquisition system, and resonance control system. Now that the model has been validated with experimental data, it can confidently be used to aid in the design of future RFQ resonance controllers and their associated water-based cooling systems. Finally, without any empirical fitting, it has demonstrated the ability to predict absolute temperature and frequency changes to 11% accuracy on average, and relative changes to 7% accuracy.
- Authors:
-
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Colorado State Univ., Fort Collins, CO (United States)
- Colorado State Univ., Fort Collins, CO (United States)
- Publication Date:
- Research Org.:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Colorado State Univ., Fort Collins, CO (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1352002
- Report Number(s):
- FERMILAB-PUB-17-082-AD
Journal ID: ISSN 0018-9499; 1591596
- Grant/Contract Number:
- AC02-07CH11359
- Resource Type:
- Accepted Manuscript
- Journal Name:
- IEEE Transactions on Nuclear Science
- Additional Journal Information:
- Journal Volume: 64; Journal Issue: 2; Journal ID: ISSN 0018-9499
- Publisher:
- Institute of Electrical and Electronics Engineers (IEEE)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 43 PARTICLE ACCELERATORS; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; Cooling; Blades; Mathematical model; Water heating; Resonant frequency; Radio frequency; Cavity resonators; Ion accelerators; Particle accelerators; Proton accelerators
Citation Formats
Edelen, J. P., Edelen, A. L., Bowring, D., Chase, B. E., Steimel, J., Biedron, S. G., and Milton, S. V. First Principles Modeling of RFQ Cooling System and Resonant Frequency Responses for Fermilab’s PIP-II Injector Test. United States: N. p., 2016.
Web. doi:10.1109/TNS.2016.2644663.
Edelen, J. P., Edelen, A. L., Bowring, D., Chase, B. E., Steimel, J., Biedron, S. G., & Milton, S. V. First Principles Modeling of RFQ Cooling System and Resonant Frequency Responses for Fermilab’s PIP-II Injector Test. United States. https://doi.org/10.1109/TNS.2016.2644663
Edelen, J. P., Edelen, A. L., Bowring, D., Chase, B. E., Steimel, J., Biedron, S. G., and Milton, S. V. Fri .
"First Principles Modeling of RFQ Cooling System and Resonant Frequency Responses for Fermilab’s PIP-II Injector Test". United States. https://doi.org/10.1109/TNS.2016.2644663. https://www.osti.gov/servlets/purl/1352002.
@article{osti_1352002,
title = {First Principles Modeling of RFQ Cooling System and Resonant Frequency Responses for Fermilab’s PIP-II Injector Test},
author = {Edelen, J. P. and Edelen, A. L. and Bowring, D. and Chase, B. E. and Steimel, J. and Biedron, S. G. and Milton, S. V.},
abstractNote = {In this study we develop an a priori method for simulating dynamic resonant frequency and temperature responses in a radio frequency quadrupole (RFQ) and its associated water-based cooling system respectively. Our model provides a computationally efficient means to evaluate the transient response of the RFQ over a large range of system parameters. The model was constructed prior to the delivery of the PIP-II Injector Test RFQ and was used to aid in the design of the water-based cooling system, data acquisition system, and resonance control system. Now that the model has been validated with experimental data, it can confidently be used to aid in the design of future RFQ resonance controllers and their associated water-based cooling systems. Finally, without any empirical fitting, it has demonstrated the ability to predict absolute temperature and frequency changes to 11% accuracy on average, and relative changes to 7% accuracy.},
doi = {10.1109/TNS.2016.2644663},
journal = {IEEE Transactions on Nuclear Science},
number = 2,
volume = 64,
place = {United States},
year = {Fri Dec 23 00:00:00 EST 2016},
month = {Fri Dec 23 00:00:00 EST 2016}
}
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