Autor: |
M. Nikbakht, H. Afarideh, M. Ghergherehchi |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
|
Zdroj: |
Nuclear Engineering and Technology, Vol 54, Iss 12, Pp 4625-4635 (2022) |
Druh dokumentu: |
article |
ISSN: |
1738-5733 |
DOI: |
10.1016/j.net.2022.06.011 |
Popis: |
A low-energy dielectric loaded accelerator with a non-uniform, multi-segment structure is studied and optimized. So far, no analytical solution is provided for such structures. Also, due to the existing nonlinear behavior and a large number of geometric parameters, the problem of numerical optimizations is complex. For this reason, a method is presented to design and optimize such structures using the Genetic Algorithm (GA). Moreover, the GA output results are compared with Trust Region (TR) and Nelder-Mead Simplex (NMS) methods. Comparative results show that the GA is more efficient in achieving optimization goals and also has a higher speed than the two other methods. Finally, an optimized accelerating tube is integrated into a proper coupler. Then, the accelerator is simulated for full electromagnetic investigations using the CST suite of codes. This design leads to a structure with a power of about 80 kW in the X-band, which delivers electrons to the output energy in the range of 300–459 kV. The length and outer diameter of the accelerating tube obtained are 10 cm and 1 cm, respectively. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
|