Metallic Fuels Handbook

Hofman, G. L.; Billone, M.C.; Koenig, J.F.; Kramer, John M.; Lambert, J.D.B.; Leibowitz, L.; Orechwa, Y.; Pedersen, D.R.; Porter, Douglas L.; Tsai, H.; Wright, A.E.

doi:10.2172/1506477

Cited by 32 publications

(25 citation statements)

References 2 publications

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“…The swelling models in BISON were primarily developed using data from EBR-II pins [16]. However, FFTF pins regularly exhibited less relative axial growth, leading some experts to argue axial growth is an end effect which only occurs near the top of the pin [25].…”

Section: Discussionmentioning

confidence: 99%

“…The uranium enrichment was adjusted for each alloy to maintain the same approximate heat generation rate. All of the pins were clad in 20% cold-worked D9 stainless steel [16] and were wrapped in 1.37 mm diameter D9 wire that served as a spacer between pins and as a turbulence generator to improve mixing/thermal transport of the sodium coolant.…”

Section: Problem Geometrymentioning

confidence: 99%

“…Once again, most values are taken directly from the literature, but the CTE has to be approximated from a nonlinear equation. The handbook by Hofman et al [16] (E.1.…”

Section: Additional Parametersmentioning

confidence: 99%

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A Metallic Fuel Performance Benchmark Problem Based on the IFR-1 Experiment

Greenquist

Cunningham

et al. 2020

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Metallic nuclear fuels are an active area of research and development for use in advanced reactors. Robust, accurate metallic fuel performance models are necessary for the design, safety analysis, and licensing of such reactors. However, metallic fuel performance models require additional development; they are not as mature as ceramic fuel performance models. Oak Ridge National Laboratory (ORNL) has developed a benchmark problem based on the Integral Fast Reactor (IFR)-1 experiment to better gauge the accuracy of existing models, identify high-priority models for development, and quantify the improvements made by future model development. This work included collection of all relevant information on the IFR-1 experiment and used it to develop the benchmark problem. The problem was simulated using the fuel performance code BISON, and the results were compared to post-irradiation examination data from the IFR-1 experiment. A sensitivity analysis was performed on the BISON model to determine the benchmark problem's sensitivity to uncertainty in the input parameters. The results suggest that BISON's mechanical models require additional development. Plastic deformation was underpredicted in the cladding, and axial swelling was overpredicted in the fuel. These problems may be related. Furthermore, there was a bias in the temperature which may have been a result of uncertainty in the input parameters rather than an issue with the fuel performance models.

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Section: Discussionmentioning

confidence: 99%

Section: Problem Geometrymentioning

confidence: 99%

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A Metallic Fuel Performance Benchmark Problem Based on the IFR-1 Experiment

Greenquist

Cunningham

et al. 2020

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“…COMSOL simulations were performed for parabolic membrane deflection profile given by Equation (2), and for flat membrane displacement with amplitude wavg= w0/3 according to Equation (5). For comparison, frequency shift was also calculated with the analytical model of Equation (10). The results are plotted in Figure 3.…”

Section: Computer Simulations Of Microwave Resonant Frequency Shiftmentioning

confidence: 99%

“…) are functions of temperature. For stainless steel 316, Young's modulus E, shear modulus G, and Poisson ratio ν are given as[10] …”

mentioning

confidence: 99%