TY - JOUR
T1 - Modelling the thermal strength degradation of CuCrZr for use in plasma facing components
AU - Engel, Samuel
AU - Quinta da Fonseca, João
AU - Shanthraj, Pratheek
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/9
Y1 - 2025/9
N2 - The adoption of nuclear fusion as a practical energy source is limited by the availability of materials that can withstand the extreme environment experienced by plasma-facing components. Materials development can be significantly accelerated by using computational materials modelling tools, capable of predicting the microstructure evolution during processing and service, and its effects on the properties of the materials. This is especially relevant in fusion applications in which operating conditions will be difficult and costly to replicate experimentally. This study presents a predictive model for the precipitation kinetics in CuCrZr alloys, a potential heat sink material for divertor target designs. A multi-class Kampmann-Wagner numerical modelling framework was used to predict the evolution of the precipitate size distribution during heat treatment and in service. The model was calibrated with experimental data obtained from short-term heat treatments ranging from 1-[Figure presented] within a temperature range of 400-[Figure presented] to establish temperature-dependent model parameters. The calibrated model was then used to predict long-term coarsening behaviour up to [Figure presented] over the same temperature range. Precipitate coarsening was associated with a maximum decrease in the material strength of 29% from the peak-aged material over the investigated temperature range, which is supported by measured hardness data. Furthermore, by simulating cycling heating due to reactor plasma instability, it was predicted that material strength can decrease by 44% from the peak-aged condition.
AB - The adoption of nuclear fusion as a practical energy source is limited by the availability of materials that can withstand the extreme environment experienced by plasma-facing components. Materials development can be significantly accelerated by using computational materials modelling tools, capable of predicting the microstructure evolution during processing and service, and its effects on the properties of the materials. This is especially relevant in fusion applications in which operating conditions will be difficult and costly to replicate experimentally. This study presents a predictive model for the precipitation kinetics in CuCrZr alloys, a potential heat sink material for divertor target designs. A multi-class Kampmann-Wagner numerical modelling framework was used to predict the evolution of the precipitate size distribution during heat treatment and in service. The model was calibrated with experimental data obtained from short-term heat treatments ranging from 1-[Figure presented] within a temperature range of 400-[Figure presented] to establish temperature-dependent model parameters. The calibrated model was then used to predict long-term coarsening behaviour up to [Figure presented] over the same temperature range. Precipitate coarsening was associated with a maximum decrease in the material strength of 29% from the peak-aged material over the investigated temperature range, which is supported by measured hardness data. Furthermore, by simulating cycling heating due to reactor plasma instability, it was predicted that material strength can decrease by 44% from the peak-aged condition.
UR - https://www.scopus.com/pages/publications/105008806245
U2 - 10.1016/j.jnucmat.2025.155985
DO - 10.1016/j.jnucmat.2025.155985
M3 - Article
AN - SCOPUS:105008806245
SN - 0022-3115
VL - 615
JO - Journal of Nuclear Materials
JF - Journal of Nuclear Materials
M1 - 155985
ER -