Objectives
- Define strategic directions for the use of Additive Manufacturing (AM) technologies on accelerator applications
- Identification of AM strategies that can be adopted to repair parts
- Develop the design approach and test relevant properties of AM-manufactured RF cavities
- Build facilities for photon stimulated desorption (PSD) yield measurement on beamlines
- Develop Machine Learning (ML) predictive algorithms to diagnose and protect high power accelerators
- Develop novel electric-field sensors to address new challenges in fast time response beam instrumentation
Tasks
| Task | Name | Task Leader |
|---|---|---|
| 10.1 | Coordination and communication | T. Torims (RTU) |
| 10.2 | Additive Manufacturing – Survey of applications and potential developments | M. Vedani (Polimi) |
| 10.3 | Refurbishment of accelerator components by AM technologies | A. Ratkus (RTU) |
| 10.4 | Development of AM-manufactured superconductive RF cavities | A. Pepato (INFN) |
| 10.5 | Photon Stimulated Desorption (PSD) from NEG coatings for accelerator vacuum chambers | O. Malyshev (UKRI) |
| 10.6 | Machine learning techniques for accelerator and target instrumentation | T. Shea (ESS) |
| 10.7 | Development of electro-optical waveguide sensors as beam electric field sensors | S. Gibson (RHUL) |