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Other literature type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2023
License: CC BY
Data sources: Datacite
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Potential AM applications in accelerators

Authors: I.FAST WP10 members;

Potential AM applications in accelerators

Abstract

This report deals with the output of a survey on the application of Additive Manufacturing (AM) technologies in the field of particle accelerators. The current applications, further needs and perspective developments foreseen for the accelerator community are discussed. The document consists of a first part where a literature survey of existing applications of AM to accelerators has been made. An analysis of the needs for the accelerator community is then presented, followed by a discussion about the opportunities offered by AM for accelerators in particle physics and for technology transfer to accelerators for other industrial fields. Finally, the design activities, manufacturing and testing of a proof-of-concept RFQ sector built by AM are described. The dissemination of this output to the widest possible audience is considered as an important strategy to raise awareness about advantages of AM in the accelerator community.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average