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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Deep Space: The new frontier of radiation controls
In commercial nuclear power, there has always been a deliberate tension between the regulator and the utility owner. The regulator fundamentally exists to protect the worker, and the utility, to make a profit. It is a win-win balance.
From the U.S. nuclear industry has emerged a brilliantly successful occupational nuclear safety record—largely the result of an ALARA (as low as reasonably achievable) process that has driven exposure rates down to what only a decade ago would have been considered unthinkable. In the U.S. nuclear industry, the system has accomplished an excellent, nearly seamless process that succeeds to the benefit of both employee and utility owner.
J. F. Latkowski, R. P. Abbott, R. C. Schmitt
Fusion Science and Technology | Volume 47 | Number 3 | April 2005 | Pages 591-595
Technical Paper | Fusion Energy - Inertial Fusion Technology | doi.org/10.13182/FST05-A750
Articles are hosted by Taylor and Francis Online.
Dry-wall inertial fusion energy (IFE) power plants must survive repeated exposure to target threats that include x-rays, ions, and neutrons. While this exposure may lead to sputtering, exfoliation, transmutation, and swelling, more basic effects are thermomechanical in nature. In the present work, we use the newly developed RadHeat code to predict time-temperature profiles in a tungsten armor, which has been proposed for use in an IFE power plant. The XAPPER x-ray damage experiment is used to simulate thermal effects by operating at fluences that produce similar peak temperatures, temperature gradients, or thermomechanical stresses. Soft x-ray fluences in excess of 1 J/cm2 are possible. Using RadHeat, we determine the XAPPER x-ray fluence needed to match expected peak surface temperatures. Such calculations are the first step in predicting the thermomechanical effects that are expected in an IFE system. Here, we report our findings and detail directions for future experiments and modeling.