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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
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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Latest News
US, Korea sign MOU for nuclear cooperation
The U.S. departments of Energy and State have signed a memorandum of understanding with the Republic of Korea’s ministries of Trade, Industry and Energy and of Foreign Affairs for the two nations to partner on nuclear exports and cooperation.
Zhiqiang Chen, Jingjing Chen, Shuangbao Shu, Ziqiao Yu, Yuzhong Zhang, Xiaojie Tao, Xianli Lang
Nuclear Science and Engineering | Volume 196 | Number 10 | October 2022 | Pages 1255-1265
Technical Paper | doi.org/10.1080/00295639.2022.2072660
Articles are hosted by Taylor and Francis Online.
Monitoring the oil scale deposition thickness of pipelines is beneficial to ensuring the efficient and safe operation of pipelines. In this paper, an improved gamma-ray transmission method is proposed to reconstruct the two-dimensional (2D) oil scale profile of pipelines. The method combines the gamma-ray transmission method and scanning technology to measure the deposition thickness of the oil scale and rotates the gamma-ray scanning direction to different angles, after completing a transmission scanning process, to achieve the full-angle measurement of the oil scale deposition thickness. Based on this method, a set of oil scale profile detection devices is designed and the detection process is simulated by the Geant4 toolkit. In this system model, the pipelines with and without oil scale are scanned, respectively, by using the single-energy gamma-ray beam to analyze the relative transmittance of gamma rays at the energy of 0.662 MeV. The results show that the approach is efficient for detecting the deposition thickness of oil scale in oil pipelines and is accurate for the 2D oil scale profile reconstruction of a pipeline. The maximum deviation is about 0.59 cm, and the relative error is less than 5%.