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Division Spotlight
Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Deep Isolation validates its disposal canister for TRISO spent fuel
Nuclear waste disposal technology company Deep Isolation announced it has successfully completed Project PUCK, a government-funded initiative to demonstrate the feasibility and potential commercial readiness of its Universal Canister System (UCS) to manage TRISO spent nuclear fuel.
Mahmood Ul Hassan, Peng Fu, Zhiquan Song, Humayun Muhammad, Li Hua, Xiuqing Zhang
Fusion Science and Technology | Volume 75 | Number 4 | May 2019 | Pages 299-307
Technical Paper | doi.org/10.1080/15361055.2019.1565732
Articles are hosted by Taylor and Francis Online.
This paper presents a novel technique using a shunt active power filter (SAPF) control strategy to reduce the harmonics generated by the power converter. A three-phase SAPF using the Takagi Sugeno (TS) fuzzy technique is used to reduce current distortion. The proposed TS fuzzy controller is a suitable candidate using SAPF techniques. In order to realize an acceptable distortion limit, TS fuzzy control uses SAPF to realize the performance of the system. The simulation results validate the proposed fuzzy control strategy by a Matlab/Simulink model.
