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LLNL, Ampera partner to develop thorium-based TRISO fuel
Lawrence Livermore National Laboratory has formed a strategic partnership with Ampera to develop the company’s nuclear fuel concept through a project named THUNDER, for Thorium Unimodal Droplet Ejection for Reactors.
The focus of THUNDER is fabricating TRISO made with kernels of thorium rather than the usual uranium. LLNL and Ampera will evaluate and optimize liquid metal–jetting technology to produce highly uniform, spherical kernels of thorium-232 for later processing into TRISO fuel.
Mohamed Belhadj, Tunc Aldemir, Richard N. Christensen
Nuclear Technology | Volume 95 | Number 1 | July 1991 | Pages 95-102
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT91-A34571
Articles are hosted by Taylor and Francis Online.
Plate-type research reactor cores have involute or rectangular coolant channels with channel gap size in the range 2 ≤ d ≤ 5 mm. Heat transfer under fully developed nucleate boiling (FDNB) and low-velocity (<0.15 m/s) upward flow conditions is important in accident situations where core cooling may be by natural convection. Using data from previous experimental work with 2 ≤ d ≤ 4 mm rectangular channels, it is shown that (a) wall superheat (ΔTsat) in thin channels under FDNB decreases with increasing probability of bubble contact, (b) ΔTsat is a function of the bubble departure diameter Db as well as d, and (c) ΔTsat can be significantly overestimated by the FDNB correlations that are conventionally used in plate-type research reactor analysis but that are based on higher pressure and larger d flow data and that predict ΔTsat as a function of local channel heat flux and pressure only (e.g., as in the Jens-Lottes and Thom correlations). A new FDNB correlation is proposed that represents the bubble contact mechanism through the dimensionless number (d — cDb)/d, where c is a fitting parameter that accounts for the statistical aspects of bubble formation and contact. The ΔTsat predictions of the new correlation agree with the experimental data to within 16% and approach those obtained from the Jens-Lottes correlation with decreasing Db/d.