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Digital twin challenges and opportunities for nuclear fuel manufacturing applications

Research output: Contribution to Journal/Magazine › Review article › peer-review

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Digital twin challenges and opportunities for nuclear fuel manufacturing applications. / Bandala Sanchez, Manuel; Chard, Patrick ; Cockbain, Neil et al.
In: Nuclear Engineering and Design, Vol. 420, 113013, 15.04.2024.

Research output: Contribution to Journal/Magazine › Review article › peer-review

Harvard

Bandala Sanchez, M, Chard, P, Cockbain, N, Dunphy, D, Eaves, D, Hutchinson, D, Lee, D, Ma, X, Marshall, S, Murray, P, Parker, A, Stirzaker, P, Taylor, CJ, Zabalza, J & Joyce, M 2024, 'Digital twin challenges and opportunities for nuclear fuel manufacturing applications', Nuclear Engineering and Design, vol. 420, 113013. https://doi.org/10.1016/j.nucengdes.2024.113013

APA

Bandala Sanchez, M., Chard, P., Cockbain, N., Dunphy, D., Eaves, D., Hutchinson, D., Lee, D., Ma, X., Marshall, S., Murray, P., Parker, A., Stirzaker, P., Taylor, C. J., Zabalza, J., & Joyce, M. (2024). Digital twin challenges and opportunities for nuclear fuel manufacturing applications. Nuclear Engineering and Design, 420, Article 113013. https://doi.org/10.1016/j.nucengdes.2024.113013

Vancouver

Bandala Sanchez M, Chard P, Cockbain N, Dunphy D, Eaves D, Hutchinson D et al. Digital twin challenges and opportunities for nuclear fuel manufacturing applications. Nuclear Engineering and Design. 2024 Apr 15;420:113013. Epub 2024 Feb 12. doi: 10.1016/j.nucengdes.2024.113013

Author

Bandala Sanchez, Manuel ; Chard, Patrick ; Cockbain, Neil et al. / Digital twin challenges and opportunities for nuclear fuel manufacturing applications. In: Nuclear Engineering and Design. 2024 ; Vol. 420.

Bibtex

@article{b0a3458c8bb04cc2aaaf80fc25021aac,
title = "Digital twin challenges and opportunities for nuclear fuel manufacturing applications",
abstract = "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.",
keywords = "Digital twin, Physics-based modelling, Data-driven modelling, Manufacturing, Nuclear fuel",
author = "{Bandala Sanchez}, Manuel and Patrick Chard and Neil Cockbain and David Dunphy and David Eaves and Daniel Hutchinson and Darren Lee and Xiandong Ma and Stephen Marshall and Paul Murray and Andrew Parker and Paul Stirzaker and Taylor, {C. James} and Jaime Zabalza and Malcolm Joyce",
year = "2024",
month = apr,
day = "15",
doi = "10.1016/j.nucengdes.2024.113013",
language = "English",
volume = "420",
journal = "Nuclear Engineering and Design",
issn = "0029-5493",
publisher = "Elsevier BV",

}

RIS

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 -