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IAEA project aims to develop polymer irradiation model
The International Atomic Energy Agency has launched a new coordinated research project (CRP) aimed at creating a database of polymer-radiation interactions in the next five years with the long-term goal of using the database to enable machine learning–based predictive models.
Radiation-induced modifications are widely applicable across a range of fields including healthcare, agriculture, and environmental applications, and exposure to radiation is a major factor when considering materials used at nuclear power plants.
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.