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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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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The RAIN scale: A good intention that falls short
Radiation protection specialists agree that clear communication of radiation risks remains a vexing challenge that cannot be solved solely by finding new ways to convey technical information.
Earlier this year, an article in Nuclear News described a new radiation risk communication tool, known as the Radiation Index, or, RAIN (“Let it RAIN: A new approach to radiation communication,” NN, Jan. 2025, p. 36). The authors of the article created the RAIN scale to improve radiation risk communication to the general public who are not well-versed in important aspects of radiation exposures, including radiation dose quantities, units, and values; associated health consequences; and the benefits derived from radiation exposures.
VIjay Chatoorgoon, Geoffrey R. Dimmick, Michael B. Carver, William N. Selander, Mamdouh Shoukri
Nuclear Technology | Volume 98 | Number 3 | June 1992 | Pages 366-378
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT92-A34666
Articles are hosted by Taylor and Francis Online.
While subcooled boiling at high pressures has been studied extensively, the phenomenon is, as yet, not sufficiently characterized at low pressures. The application of four methods to predict subcooled boiling void fraction measured in an experiment aimed at separateeffect measurements of subcooled void condensation and generation is discussed. The methods include a simple correlation and a hierarchy of three models, each of which addresses void generation and condensation at a different level of complexity. Comparisons are given between the experimental data and results from each of the prediction methods.