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Fig 1.

Generation and filling algorithm of macro geometry of cathode carbon block.

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Fig 1 Expand

Fig 2.

Changes in various factors.

(a) Electrolysis temperature; (b) binding effect;(c) cathode current density; (d) melt molecular ratio.

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Fig 2 Expand

Table 1.

Sodium binding coefficient R.

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Table 1 Expand

Fig 3.

(a) Geometric model of sodium diffusion in carbon blocks and (b) finite element model of sodium diffusion in carbon blocks.

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Fig 3 Expand

Table 2.

Cathode carbon block material parameters [14].

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Table 2 Expand

Fig 4.

Nephogram of sodium concentration distribution with different porosity.

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Fig 4 Expand

Fig 5.

Cloud map of sodium concentration distribution under different electrolysis temperature conditions.

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Fig 5 Expand

Fig 6.

The variation of sodium diffusion depth with (a) electrolysis temperature, (b) binding effect coefficient, (c) melt molecular ratio and (d) cathode current density.

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Fig 6 Expand

Fig 7.

The relationship between sodium concentration and diffusion depth under different factor conditions.

(a) Electrolysis temperature; (b) binding effect; (c) melt molecular ratio; (d) cathode current density.

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Fig 7 Expand

Fig 8.

Cloud map of sodium concentration distribution under different binding capacity conditions.

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Fig 8 Expand

Fig 9.

Cloud map of sodium concentration distribution under different electrolyte molecular ratios.

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Fig 9 Expand

Fig 10.

Cloud map of sodium concentration distribution under different cathode current densities.

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Fig 10 Expand

Fig 11.

Sodium concentration distribution cloud map.

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Fig 11 Expand

Fig 12.

Comparison of numerical simulation and actual test.

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Fig 12 Expand