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Jefferson Lab awarded $8M for accelerator technology to enable transmutation
The Thomas Jefferson National Accelerator Facility is leading research supported by two Department of Energy Advanced Research Projects Agency–Energy (ARPA-E) grants aimed at developing accelerator technology to enable nuclear waste recycling, decreasing the half-life of spent nuclear fuel.
Both grants, totaling $8.17 million in combined funding, were awarded through the Nuclear Energy Waste Transmutation Optimized Now (NEWTON) program, which aims to enable the transmutation of nuclear fuels by funding novel technologies for improving the performance of particle generation systems.
Chiradeep Gupta
Nuclear Technology | Volume 209 | Number 4 | April 2023 | Pages 560-581
Technical Paper | doi.org/10.1080/00295450.2022.2143730
Articles are hosted by Taylor and Francis Online.
Ductile-to-brittle transition (DBT) characteristics of three steels for reactor pressure vessel (RPV) belt line application are analyzed from new parameters based on model functions describing the strength and toughness characteristics of the materials. In order to estimate nil-ductility temperature (NDT) from strength property, a strain rate–compensated temperature parameter based on the thermally activated deformation of materials is adopted. A measure of NDT is determined from tensile strength properties for the first time assuming an estimated notch tip strain rate at the lower shelf. It is estimated to be 110, 42, and 106 K for the Cr-Mo-V-Ni, 20MnMoNi55, and A533B steels, respectively. The measure of ductile-to-brittle transition temperature (DBTT) in steels using 41-J Charpy impact-absorbed energy on the basis of a logistic class of functions is compared and shown to be equivalent with those obtained from fitting the tanh model equation.
A bi-logistic function based on the concept of separable parameters representing the fracture of ductile and brittle zones in steels within the DBTT regime was applied to model the Charpy impact energy behavior of the three steels. The bi-logistic function-fitting parameters yielded a new measure of brittleness as a DBT characteristic of steels that correlated well with other measures of transition temperature of the selected RPV steels. The parameters from the hyperbolic and logistic fitting were used to develop a model relationship suitable for the generation of a master curve based on Charpy energy in exponential form that unifies the transition temperature behavior of the selected western and eastern RPV materials. The model relationship is also found to closely predict ~5 K of the reference temperature To determined as per American Society for Testing and Materials standard E1921 of the selected RPV steels.