ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Jul 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
August 2026
Fusion Science and Technology
Latest News
NEA irradiation system ready to deploy at MITR
A new irradiation experimental system is ready for deployment. The rig, which is the focus of In-Core Real-Time Mechanical Testing of Structural Materials (INCREASE-I), an OECD Nuclear Energy Agency project, will be used to conduct stress-relaxation tests of stainless steel at the Massachusetts Institute of Technology Reactor (MITR), according to the OECD NEA.
Ryuji Yoshino, James K. Koga, Tatsuoki Takeda
Fusion Science and Technology | Volume 30 | Number 2 | November 1996 | Pages 237-250
Technical Paper | Special Section: Plasma Control Issues for Tokamaks / Plasma Engineering | doi.org/10.13182/FST96-A30753
Articles are hosted by Taylor and Francis Online.
A high toroidal eddy current induced in a vacuum vessel during plasma-current quench, Ip quench, results in errors in determining the vertical position of the plasma-current center, ZJ, calculated from standard linear regression sensor algorithms. These deviations result in a vertical displacement event (VDE) that must be avoided because of the expected severe damage on the first wall in tokamak fusion reactors like the International Thermonuclear Experimental Reactor (ITER). On the other hand, high ZJ calculation accuracy must be maintained at steady state to obtain reasonable plasma performance. Thus, real-time sensor algorithms for the calculation of ZJ applicable to the two cases of steady state and slow Ip quench are investigated. When a statistical method is applied to the ZJ calculation, its deviation from the actual ZJ cannot be completely reduced at the same time for both cases. On the contrary, a neural network demonstrates high accuracy in the calculation of ZJ for both cases, which enables real-time feedback control of ZJ during slow Ip quench, avoids VDE, and keeps reasonable plasma performance during steady state.