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ANS Student Conference 2025
April 3–5, 2025
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Fusion Science and Technology
Latest News
Argonne research aims to improve nuclear fuel recycling and metal recovery
Servis
Scientists at Argonne National Laboratory are investigating a used nuclear fuel recycling technology that could lead to a scaled-down and more efficient approach to metal recovery, according to a recent news article from the lab. The research, led by Argonne radiochemist Anna Servis with funding from the Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E), could have an impact beyond the nuclear fuel cycle and improve other high-value metal processing, such as rare earth recovery, according to Argonne.
The research: Servis’s work is being carried out under ARPA-E’s CURIE (Converting UNF Radioisotopes Into Energy) program. The specific project—Radioisotope Capture Intensification Using Rotating Packed Bed Contactors—started in 2023 and is scheduled to end in January 2026.
S. Wang, Y. Q. Liu, X. M. Song, G. Y. Zheng, G. L. Xia, L. Li
Fusion Science and Technology | Volume 73 | Number 4 | May 2018 | Pages 519-532
Technical Paper | doi.org/10.1080/15361055.2017.1404416
Articles are hosted by Taylor and Francis Online.
Systematic, multiple initial value simulations are performed for a toroidal plasma using the recently updated MARS-F code in order to understand how the resistive wall mode (RWM) can be feedback controlled in the presence of control coil voltage saturation and/or sensor noise. The former renders the control nonlinear, thus generally requiring initial value computations for toroidal plasmas. This numerical study complements and confirms the key results from a previously analytic investigation of the RWM feedback with power saturation for a cylindrical plasma [Li et al., Physics of Plasmas, Vol. 19, 012502 (2012)]. Moreover, simulation results reveal a linear trend between the maximum tolerable sensor noise level and the degree of relaxing the control coil voltage saturation requirement, up to a certain level of noise, corresponding to a noise-to-signal ratio of about 25%. Beyond this level, further relaxing the control voltage saturation limit does not lead to increased sensor noise tolerance for the RWM stabilization.
