Viscosity of Fused Mixtures of Sodium Fluoride, Beryllium Fluoride, and Uranium Fluoride

Blanke, B.C.; Foster, K.W.; Jones, L.V.; Jordan, K.C.; Joyner, Richard W.; Murphy, E.L.

doi:10.2172/4303840

Cited by 2 publications

(1 citation statement)

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“…Experimental data for the pure compounds in LiCl-KCl come from Wakao [13] and Ejima [14], whereas the mixture data comes from Zuca [15]. Experimental data for the pure compounds in NaF-BeF 2 come from Brockner [16] and [17], whereas the mixture data came from studies of Powers [18] and Blanke [19]. The mixture of LiCl-KCl is the more ideal mixture in that the Grunburg-Nissan model without any nonideal terms represents the experimental data reasonably well.…”

Section: Progress On Applying Redlich-kister To Viscositymentioning

confidence: 99%

An Overview of the Molten Salt Thermal Properties Database–Thermophysical, Version 2.1.1 (MSTDB-TP v.2.1.1)

Termini¹,

Birri²,

Henderson³

et al. 2023

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This report presents the current status of the Molten Salt Thermal Properties Database-Thermophysical (MSTDB-TP). Building off of MSTDB-TP and through the direction of the Roadmap for Thermal Property Measurement of Molten Salt Reactor Systems [1], MSTDB-TP v2.1.1 has now been released, containing a total 448 salt entries (data from 140+ independent studies), an increase compared with the original commit of 62 [2, 3], and containing thermophysical properties, including density, viscosity, thermal conductivity, and heat capacity. Along with the new database release, the further advancement of Saline, which is a C++ application programming interface, and a graphical user interface have facilitated increased user/developer interaction with the database. Furthermore, estimation techniques, first principles calculations (ab initio), and interpolation/extrapolation methods (Redlich-Kister/Muggianu) have shown great promise in the future of thermophysical property determination for filling out compositional spaces and investigating experimentally difficult salts (hazardous and/or expensive). This report describes the database composition, the development and advancement of database tools, and the strategy of advancing and implementing estimation data into future iterations of the database for MSTDB-TP.

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