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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.
Ronald D. Boyd
Fusion Science and Technology | Volume 67 | Number 4 | May 2015 | Pages 745-753
Technical Paper | doi.org/10.13182/FST14-813
Articles are hosted by Taylor and Francis Online.
A hypervapotron is an excellent candidate for single-side high heat flux removal (HHFR). Hypervapotron HHFR is accomplished by subcooled two-phase flow boiling and conjugate heat transfer involving efficient vapor generation, channeling, and condensation. To characterize additional optimal operating characteristics effectively using computational fluid dynamics (CFD) and/or experimental approaches (and/or design approaches), knowledge of the hypervapotron controlling parameters is essential for timely identification of enhancements to the HHFR configuration. To that end, three high heat flux–side controlling parameters and a characteristic temperature difference have been identified. These parameters include the effects of conjugate heat transfer, two-dimensional channel-wall dimensionless aspect ratios, and the characteristic temperature difference. Finally, these parameters may be useful in CFD (and experimental and/or design approaches) studies for optimizing HHFR and thermal protection in fusion and aerospace systems.