Numerical modeling of subcooled flow boiling and heat transfer enhancement: validation and applicability to fusion reactor target design
Numerical modeling of subcooled flow boiling and heat transfer enhancement: validation and applicability to fusion reactor target design
Boiling flows are an extremely efficient mechanism for the transfer of ultrahigh heat fluxes and used in numerous industrial applications. In this paper, the accuracy of computational fluid dynamics in predicting the temperature distributions and heat transfer performance is examined within a nuclear fusion reactor divertor. The aim is to establish the role of computational fluid dynamics (CFD) within the design of complicated high heat flux components using a semi-mechanistic approach to flow boiling that is independent of geometry and flow conditions. An Eulerian–Eulerian two-fluid method is developed and a conjugate heat transfer model is validated against the existing experimental data where available. Overall, a satisfactory accuracy is achieved in the prediction of several important quantities. Temperature distribution throughout the divertor is found to be highly accurate and aligns with the physical testing across two expected operating regimes. Additionally, the system heat transfer coefficients and coolant temperatures are close to the assumptions already established within the literature. Heat transfer enhancement is a critical component of the divertor design, and a twisted-tape insert appears to be necessary for the system to withstand ultrahigh heat fluxes encountered within the fusion reactor. The results show that the inclusion of a twisted tape improved the heat transfer coefficient of the system by almost 45% allowing the divertor to withstand the required heat fluxes of 10 MW/m2 and 20 MW/m2.
Young, Graeme
9e065478-791d-471e-a17c-f83b9e47c0f5
Karimi, Nader
620646d6-27c9-4e1e-948f-f23e4a1e773a
Mackenzie, Ross
7997da9a-9d0d-49ea-9ecf-bc3c997cd866
9 June 2020
Young, Graeme
9e065478-791d-471e-a17c-f83b9e47c0f5
Karimi, Nader
620646d6-27c9-4e1e-948f-f23e4a1e773a
Mackenzie, Ross
7997da9a-9d0d-49ea-9ecf-bc3c997cd866
Young, Graeme, Karimi, Nader and Mackenzie, Ross
(2020)
Numerical modeling of subcooled flow boiling and heat transfer enhancement: validation and applicability to fusion reactor target design.
Journal of Energy Resources Technology, 142 (11), [112105].
(doi:10.1115/1.4047254).
Abstract
Boiling flows are an extremely efficient mechanism for the transfer of ultrahigh heat fluxes and used in numerous industrial applications. In this paper, the accuracy of computational fluid dynamics in predicting the temperature distributions and heat transfer performance is examined within a nuclear fusion reactor divertor. The aim is to establish the role of computational fluid dynamics (CFD) within the design of complicated high heat flux components using a semi-mechanistic approach to flow boiling that is independent of geometry and flow conditions. An Eulerian–Eulerian two-fluid method is developed and a conjugate heat transfer model is validated against the existing experimental data where available. Overall, a satisfactory accuracy is achieved in the prediction of several important quantities. Temperature distribution throughout the divertor is found to be highly accurate and aligns with the physical testing across two expected operating regimes. Additionally, the system heat transfer coefficients and coolant temperatures are close to the assumptions already established within the literature. Heat transfer enhancement is a critical component of the divertor design, and a twisted-tape insert appears to be necessary for the system to withstand ultrahigh heat fluxes encountered within the fusion reactor. The results show that the inclusion of a twisted tape improved the heat transfer coefficient of the system by almost 45% allowing the divertor to withstand the required heat fluxes of 10 MW/m2 and 20 MW/m2.
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Published date: 9 June 2020
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Local EPrints ID: 509142
URI: http://eprints.soton.ac.uk/id/eprint/509142
ISSN: 0195-0738
PURE UUID: 5852f3d5-66a5-4dd6-a800-dc869ba8a869
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Date deposited: 11 Feb 2026 18:00
Last modified: 12 Feb 2026 03:31
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Author:
Graeme Young
Author:
Nader Karimi
Author:
Ross Mackenzie
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