A Description of the Mechanistic Dart - Thermal Dispersion Fuel Performance Code and Application to Irradiation Behavior Analysis of U-Mo/Al

Ye, B.; Rest, J.; Kim, Y.S.

doi:10.2172/1087291

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…An additional complication is the formation of fission gas bubbles, which form within the fuel particles and collect at interfaces between the fuel, interaction layer and matrix [3]. Macroscopic fuel models, such as the DART model [4], the MAIA code [5] or the model by Ryu et al [6], use a theoretical expression derived for the magnetic permeability of multiphase materials by Hashin and Shtrikman [7], to account for this third phase and fission gas bubbles, but it is not clear that such a model can correctly account for the changing morphology of the fuel.…”

Section: Introductionmentioning

confidence: 99%

A Microstructural Model of the Thermal Conductivity of Dispersion Type Fuels With a Fuel Matrix Interaction Layer

Williams

Leitch

Wang

2013

Nuclear Engineering and Technology

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Section: Introductionmentioning

confidence: 99%

A Microstructural Model of the Thermal Conductivity of Dispersion Type Fuels With a Fuel Matrix Interaction Layer

Williams

Leitch

Wang

2013

Nuclear Engineering and Technology

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“…The intragranular gas bubble porosity (𝑝 #$%&' ) data as a function of fission density (FD) needed to model the thermal conductivity degradation factor (𝑓 #$%&' ) is obtained from the simulated microstructural changes in an irradiated U-10Mo, performed using the DART fuel-performance code [52]. Analyzing the intragranular gas bubble porosity data at 150℃, we observed that the intragranular porosity is negligible up to the FD of 1 × 10 +.…”

Section: Thermal Conductivity Degradation Factor Due To Intragranular...mentioning

confidence: 99%

“…The average intergranular porosity as a function of FD at 150 o C is also obtained from simulated microstructural changes in an irradiated U-10Mo, performed using the DART fuel-performance code [52]. For FDs less than 1 × 10 +.…”

Section: Thermal Conductivity Degradation Factor Due To Intergranular...mentioning

confidence: 99%

“…Additionally, the form in which the data exists is vital to qualify the data for computational purposes. For example, the accuracy of the models will depend if the data is a correlation [4,126,127], a sample mean or average [4,128,129], or distribution [27,52,110]. Furthermore, validation of these models is more reliable if the data used for validation is in the form of a size distribution [27,110].…”

Section: Data Collectionmentioning

confidence: 99%

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Microstructural-Level Fuel Performance Modeling of U-Mo Monolithic Fuel

Beeler

Cole

Kadambi

et al. 2021

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As the physics that governs the microstructural evolution of nuclear fuel span various time and spatial scales, to fully understand the fuel behavior inevitably involves atomic to mesoscale resolution that can be difficult to determine experimentally. Microstructural-level modeling and simulations can be used to develop physics-based materials models that can provide physical understanding to inform fabrication process control, as well as a valuable feedback mechanism between post-irradiation examination (PIE) results and fabrication parameters. In accordance with the program schedule, the primary goals of the microstructure modeling effort are to:1. Address critical microstructural questions and provide practical guidance to the fabricator via the fuel product specification 2. Provide mechanistic inputs for the existing fuel-performance code to improve its descriptive and predictive capability at the macroscopic scale.In fiscal year (FY)-21, the work scope consisted of six main facets: (1) the effect of carbides on fuel performance; (2) gas diffusivity in different phases; (3) integration of microstructural fuel-performance modeling; (4) property degradation; (5) irradiation creep; and (6) historical analysis of microstructure data. Brief summaries of each are included below.

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“…DART [52] was used to estimate meat swelling for three fuel particle sizes. In the DART modeling, fuel meat swelling is the sum of fission product swelling in fuel particles and volume expansion in ILs, subtracted by volume consumptions in fuel particles and Al matrix by IL growth.…”

Section: Use Of Large Fuel Particlesmentioning

confidence: 99%

In-pile test results of U-silicide or U-nitride coated U-7Mo particle dispersion fuel in Al

Kim

Park

Lee

et al. 2014

Journal of Nuclear Materials

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U-silicide or U-nitride coated U-Mo particle dispersion fuel in Al (U-Mo/Al) was in-pile tested to examine the effectiveness of the coating as a diffusion barrier between the U-7Mo fuel kernels and Al matrix. This paper reports the PIE data and analyses focusing on the effectiveness of the coating in terms of interaction layer (IL) growth and general fuel performance. The U-silicide coating showed considerable success, but it also provided evidence for additional improvement for coating process. The U-nitride coated specimen showed largely inefficient results in reducing IL growth. From the test, important observations were also made that can be utilized to improve U-Mo/Al fuel performance. The heating process for coating turned out to be beneficial to suppress fuel swelling. The use of larger fuel particles confirmed favorable effects on fuel performance.

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A Description of the Mechanistic Dart - Thermal Dispersion Fuel Performance Code and Application to Irradiation Behavior Analysis of U-Mo/Al

Cited by 6 publications

References 6 publications

A Microstructural Model of the Thermal Conductivity of Dispersion Type Fuels With a Fuel Matrix Interaction Layer

A Microstructural Model of the Thermal Conductivity of Dispersion Type Fuels With a Fuel Matrix Interaction Layer

Microstructural-Level Fuel Performance Modeling of U-Mo Monolithic Fuel

In-pile test results of U-silicide or U-nitride coated U-7Mo particle dispersion fuel in Al

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