9–11 Oct 2023
Riga Technical University
Europe/Riga timezone

MECHANICAL DESIGN OPTIMIZATION OF AN RFQ (PARTICLE) ACCELERATOR PROTOTYPE MADE BY ADDITIVE MANUFACTURING

Not scheduled
20m
268 (Riga Technical University)

268

Riga Technical University

Ķīpsalas iela 6A

Speaker

Guntis Pikurs (Riga Technical University (LV))

Description

Additive manufacturing is a relatively new technology which is changing manufacturing paradigms. It is a more natural way of manufacturing with potential that has not yet been fully discovered in the accelerator community. Furthermore, it is a smarter and greener way of manufacturing where the material and energy are not wasted in extra material removal and chips. Compared to conventional techniques, AM allows the manufacturing high-complexity parts more efficiently in a shorter time and with a minimum number of technological steps. The technology allows design solutions which are entirely impossible and mindblowing for traditional approaches. The advantage opens the gateway to complex structure design improvements, achieving even higher efficiency for final products.
This research covers AM RFQ cavity design and thermal system optimization solutions, allowing RFQ quality factor value improvement and thermal system upgrade. The research explicitly advances the PBF-LB/M/Cu-ETP process of manufacturing compact-size RFQ, a highly complex and intricate part of accelerators. The manufacturing process of HF-RFQ demands minimum ISO-286 fine machining tolerance grades and Ra0.4 surface quality due to stringent requirements for beam optics and cavity “skin layer” quality. The research results can serve as a valuable reference for the future advancements of AM technology in the context of RFQs and other critical accelerator components and encompass a comprehensive guide for the application of AM technology in functional RFQ development. Concluding with evaluating the geometrical shape and surface quality of the prototype through several types of tests represents a significant and valuable contribution to the H2020 I.FAST project, serving as an essential component of the deliverable for the I.FAST WP10 collaboration. Further, research has continued where the target is full-size functional RFQ.

Type of contribution Talk

Authors

Guntis Pikurs (Riga Technical University (LV)) Dr Maurizio Vretenar (CERN) Prof. Toms Torims (RTU)

Presentation materials

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