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Research Papers: Nuclear Power

Simulations of Metal Oxidation in Lead Bismuth Eutectic at a Mesoscopic Level

[+] Author and Article Information
Taide Tan

Department of Mechanical Engineering, University of Nevada, Las Vegas, NV 89154-4027

Yitung Chen1

Department of Mechanical Engineering, University of Nevada, Las Vegas, NV 89154-4027uuchen@nscee.edu

1

Corresponding author.

J. Eng. Gas Turbines Power 131(3), 032903 (Feb 18, 2009) (11 pages) doi:10.1115/1.3078702 History: Received August 19, 2008; Revised August 25, 2008; Published February 18, 2009

The corrosiveness of lead bismuth eutectic (LBE), as an ideal coolant candidate in reactors and accelerator driven systems (ADSs), presents a critical challenge for safe applications. One of the effective ways to protect the materials is to form and maintain a protective oxide film along the structural material surfaces by active oxygen control technology. The oxidation of metals in LBE environment has been investigated numerically at a mesoscopic scale. A novel stochastic cellular automaton (CA) model has been proposed considering the transport of oxygen along the grain boundaries. The proposed mesoscopic CA model has been mapped with the experimental data. A parametric study was conducted in order to check the importance of the main explicit parameters of the mesoscopic model. The boundary condition at the far end of the specimen has been investigated for the CA model. The model has benchmarked with the analytical solution and with the previous work of a pure diffusion process, and significant agreement has been reached. The developed CA model can be used to solve diffusion problem.

Copyright © 2009 by American Society of Mechanical Engineers
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References

Figures

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Figure 1

Schematic of CA model of corrosion/oxidation of metal in LBE

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Figure 2

The neighborhoods for lattice Lati,j(t) and interstitial site Intei,j(t)

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Figure 3

Snapshot of the mesoscopic structure with Kd=4, Coxy=0.2, and Pact=0.0005 at Nt=1000

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Figure 4

Growth of the oxide layer for Kd=4, Coxy=0.2, and Pact=0.0005 at Nt=200,000 with Neumann and Dirichlet boundary conditions at y=0

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Figure 5

The percentage of the oxygen occupied sites for Kd=4, Coxy=0.2, and Pact=0.0005 at Nt=200,000 with Neumann and Dirichlet boundary conditions at y=0.

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Figure 6

The snapshot of the mesoscopic structure for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.0005, Pact=0.3, Pact=0.5, and Pact=0.8

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Figure 7

The comparison of the oxide layer thickness of cases with Pact=0.0005 and Pact=0.5 at Nt=200,000, with Kd=1 and Coxy=0.2

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Figure 8

The comparison of the oxide layer thickness of cases with Pact=0.3 and Pact=0.8 at Nt=200,000, with Kd=1 and Coxy=0.2

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Figure 9

The comparison of the oxide layer thickness of cases with Pact=0.3 and Pact=0.8 at the initial stage, with Kd=1 and Coxy=0.2.

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Figure 10

The walker distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.0005

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Figure 11

The walker distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.3

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Figure 12

The walker distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.5

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Figure 13

The walker distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.8

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Figure 14

The oxygen distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.0005

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Figure 15

The oxygen distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.3

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Figure 16

The oxygen distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.5

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Figure 17

The oxygen distributions for Nt=200,000, with Kd=1, Coxy=0.2, and Pact=0.8

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Figure 18

Comparison of thickness for different value of Kd, with Coxy=0.2, Pact=0.0005, and Pact=0.5

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Figure 19

Values of (δN,in)2, (δN,out)2, and (δN,tot)2 versus time steps

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Figure 20

The diffusion process of oxygen without chemical reaction

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Figure 21

Benchmark of the results form the present model with the analytical solution and Brieger and Bonomi’s result (25)

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