Digital Voltage Conversion and RF Cavity Optimization in Cyclotrons: Harnessing Waste Heat and self-monitoring failure and predictive maintenance to enable flexible adaptation of tracer isotope production for tumour diagnostics and treatment
| Doktorand / Doktorandin | Kiran Govind |
|---|---|
| Forschungsschwerpunkt | HRK Schwerpunkt Smart Sensing, Automation and Analytics |
| Zeitraum | 14.10.2024 - 13.10.2029 |
| Wissenschaftlich betreuende Personen HS-Coburg | Prof. Dr. Jasmin Walk und Prof. Dr. Roman Rischke |
| Einrichtungen |
Promotionszentrum Analytics4Health (A4H) Fakultät Angewandte Naturwissenschaften und Gesundheit (FNG) |
| Wissenschaftlich betreuende Person (extern) |
Abstract
The dissertation focusses on 3 steps:
1. Conversion of voltage for the particle accelerators from analog to a digital version
2. RF Cavity design modification, possible approach on waste heat utilization
3. Further advancement of the indicated cyclotron to perform the self-monitoring on failures and predictive maintenance by machine learning and sensors