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CLEAN SMART bill reintroduced in Senate
Senators Ben Ray Luján (D., N.M.) and Tim Scott (R., S.C.) have reintroduced legislation aimed at leveraging the best available science and technology at U.S. national laboratories to support the cleanup of legacy nuclear waste.
The Combining Laboratory Expertise to Accelerate Novel Solutions for Minimizing Accumulated Radioactive Toxins (CLEAN SMART) Act, introduced on February 11, would authorize up to $58 million annually to develop, demonstrate, and deploy innovative technologies, targeting reduced costs and safer, faster remediation of sites from the Manhattan Project and Cold War.
P. Grillo, G. Mazzone
Nuclear Technology | Volume 15 | Number 1 | July 1972 | Pages 25-35
Technical Paper | Reactor | doi.org/10.13182/NT72-A31159
Articles are hosted by Taylor and Francis Online.
Single- and two-phase pressure drop measurements have been carried out on a 6 × 6 rod bundle at 70 atm. Single-phase measurements have been performed with a subcooling ranging from 100 to 5°C and at mass velocities comprised between 0.5 × 106 and 3.3 × 106 lb/(h ft2). Two-phase measurements have been performed at steam qualities ranging from 3 to 20% and at mass velocities comprised between 0.5 × 106 and 2 × 106 lb/(h ft2). From the measured pressure drops, the bundle friction factor and the loss coefficient for each bundle component (bottom plate, spacer, and upper plate) have been determined. Single-phase results show that Moody’s curve for friction losses and Kays’ coefficients for form losses lead to predicted pressure drops in good agreement with the experimental ones. The two-phase loss coefficients of the spacer and the bottom plate have been compared to the slip model prediction. If, for each component, an ad hoc choice of the slip ratio is made, the calculated values can be matched to the experimental ones with good accuracy. In addition, two-phase friction losses have been calculated on the basis of the Martinelli-Nelson, Becker, and Baroczy correlations with a resulting good agreement between the predictions of the last correlation and the experimental data.