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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Fusion Science and Technology
Latest News
Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
H. Tan, M. Zhang, B. Rao, Y. Yang, Y. H. Ding, and G. Zhuang
Fusion Science and Technology | Volume 65 | Number 3 | May 2014 | Pages 406-412
Technical Paper | doi.org/10.13182/FST13-715
Articles are hosted by Taylor and Francis Online.
The toroidal field (TF) magnet of the Joint TEXT (J-TEXT) tokamak consists of 16 D-shaped copper coils interlinked in series. In this study, the finite element simulation software ANSYS is used to calculate the toroidal magnetic field and its ripple over the plasma region. Moreover, the possible error field caused by the busbar and the mounting error or noncoaxiality among the TF coils are also calculated. Results show that the busbar lead-in and the possible outward radial shift of a single TF coil will cause a relatively large error field.
