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Research output: Contribution to Journal/Magazine › Review article › peer-review
Research output: Contribution to Journal/Magazine › Review article › peer-review
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TY - JOUR
T1 - Digital twin challenges and opportunities for nuclear fuel manufacturing applications
AU - Bandala Sanchez, Manuel
AU - Chard, Patrick
AU - Cockbain, Neil
AU - Dunphy, David
AU - Eaves, David
AU - Hutchinson, Daniel
AU - Lee, Darren
AU - Ma, Xiandong
AU - Marshall, Stephen
AU - Murray, Paul
AU - Parker, Andrew
AU - Stirzaker, Paul
AU - Taylor, C. James
AU - Zabalza, Jaime
AU - Joyce, Malcolm
PY - 2024/4/15
Y1 - 2024/4/15
N2 - There have been a number of digital twin (DT) frameworks proposed for multiple disciplines in recent years. However, there is a need to develop systematic methodologies to improve our ability to produce DT solutions for the nuclear fuel industry considering specific requirements and conditions exclusive to the nuclear fuel manufacturing cycle. A methodology tailored for nuclear fuel production is presented in this paper. Due to the nature of the chemical processes involved in fuel manufacturing, we highlight the importance of using a combination of physics-based and data-driven modelling. We introduce key technologies for DT construction and the technical challenges for DT are discussed. Furthermore, we depict typical application scenarios, such as key stages of the nuclear manufacturing cycle. Finally, a number of technology issues and research questions related to DT and nuclear fuel manufacturing are identified.
AB - There have been a number of digital twin (DT) frameworks proposed for multiple disciplines in recent years. However, there is a need to develop systematic methodologies to improve our ability to produce DT solutions for the nuclear fuel industry considering specific requirements and conditions exclusive to the nuclear fuel manufacturing cycle. A methodology tailored for nuclear fuel production is presented in this paper. Due to the nature of the chemical processes involved in fuel manufacturing, we highlight the importance of using a combination of physics-based and data-driven modelling. We introduce key technologies for DT construction and the technical challenges for DT are discussed. Furthermore, we depict typical application scenarios, such as key stages of the nuclear manufacturing cycle. Finally, a number of technology issues and research questions related to DT and nuclear fuel manufacturing are identified.
KW - Digital twin
KW - Physics-based modelling
KW - Data-driven modelling
KW - Manufacturing
KW - Nuclear fuel
U2 - 10.1016/j.nucengdes.2024.113013
DO - 10.1016/j.nucengdes.2024.113013
M3 - Review article
VL - 420
JO - Nuclear Engineering and Design
JF - Nuclear Engineering and Design
SN - 0029-5493
M1 - 113013
ER -