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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.
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International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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Argonne’s METL gears up to test more sodium fast reactor components
Argonne National Laboratory has successfully swapped out an aging cold trap in the sodium test loop called METL (Mechanisms Engineering Test Loop), the Department of Energy announced April 23. The upgrade is the first of its kind in the United States in more than 30 years, according to the DOE, and will help test components and operations for the sodium-cooled fast reactors being developed now.
Y. Ikeda, C. Konno, H. Maekawa
Nuclear Science and Engineering | Volume 116 | Number 1 | January 1994 | Pages 19-27
Technical Paper | doi.org/10.13182/NSE94-A21477
Articles are hosted by Taylor and Francis Online.
In view of the importance of so-called “sequential reactions”in fusion reactor structural materials, the production of radioactivity due to sequential reactions associated with protons emitted via (n,xp) reactions with 14.9-MeV neutrons has been measured. The effective production yields with respect to 14.9-MeV incident neutrons produced by sequential reactions were obtained for the radio active products of 48 V, 56Co, and 64Zn in titanium, iron, and copper, respectively. The values were 14.7 ± 1.9, 4.6 ±0.3, and 11.4 ± 1.9 μb, respectively. The effective production cross section was estimated on the basis of all relevant data on (n,xp) and (p,n) cross sections, proton emission spectra, and the proton stopping power in these materials. This analysis gave values 22% larger, 29% smaller, and a factor of 5.6 smaller than the measured values for these reactions, respectively. The range of these discrepancies is not unreasonable considering the large uncertainties in the data base used in the estimation.