Design and Implementation of a Production Model Bias Tee Article Swipe
T. Larter
,
Eleazar Gutierrez
,
Sanghoon Kim
,
Dan Morris
,
John Popielarski
,
Tracy Xu
,
Shen Zhao
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18429/jacow-ipac2021-tupab355
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.18429/jacow-ipac2021-tupab355
The Facility for Rare Isotope Beams (FRIB) includes two types of half wave SC resonators (HWR) operating at 322MHz. The fundamental power couplers used to transmit RF power into the HWRs commonly suffer from multipacting which can result in long conditioning times. A bias tee can be used to apply a high voltage to the couplers to help alleviate multipacting. A production version of the bias tee was commissioned for use at FRIB. The bias tee went through several design revisions to diagnose and correct thermal dissipation issues. This paper will discuss details of design and challenges faced during production validation of the bias tee.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18429/jacow-ipac2021-tupab355
- OA Status
- green
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- 20
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All OpenAlex metadata
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https://openalex.org/W3204048195Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.18429/jacow-ipac2021-tupab355Digital Object Identifier
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Design and Implementation of a Production Model Bias TeeWork title
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articleOpenAlex work type
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enPrimary language
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2021Year of publication
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2021-01-01Full publication date if available
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T. Larter, Eleazar Gutierrez, Sanghoon Kim, Dan Morris, John Popielarski, Tracy Xu, Shen ZhaoList of authors in order
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https://doi.org/10.18429/jacow-ipac2021-tupab355Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://doi.org/10.18429/jacow-ipac2021-tupab355Direct OA link when available
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Production (economics), Production model, Computer science, Economics, MicroeconomicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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2Number of works referenced by this work
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20Other works algorithmically related by OpenAlex
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