2016
DOI: 10.48550/arxiv.1609.08023
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Thermal conductivity of the side ledge in aluminium electrolysis cells: compounds as a function of temperature and grain size

Abstract: In aluminium electrolysis cells, a ledge of frozen electrolyte is formed, attached to the sides of the cell. The control of the side ledge thickness is essential in ensuring a reasonable lifetime for the cells. Numerical modelling of the side ledge thickness requires an accurate knowledge of the thermal transport properties as a function of temperature. Unfortunately, there is a considerable lack of experimental data for the large majority of the phases constituting the side ledge. The aim of this work is to p… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
4
0

Year Published

2017
2017
2017
2017

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(5 citation statements)
references
References 58 publications
1
4
0
Order By: Relevance
“…We predict that addition of 0.9 wt % of γ-Al 2 O 3 in cryolite increases the thermal diffusivity from 0.65% (at 300 K) to 1.1% (at 836 K). Given the discussion above, the thermal diffusivity of the porous synthetic cryolite sample can be assumed to be identical to that of the dense cryolite In the regular regime, both the radiation-corrected thermal diffusivity and the conductive (true) thermal diffusivity deduced from the apparent thermal diffusivity (raw experimental data) are in excellent agreement with our previous DFT predictions 4 at temperatures up to 810 K, that is, very close to the α → β phase transition temperature of cryolite. Note that the excellent agreement found between DFT and the present MHM experiment results in some error cancelation in the prediction of thermal conductivity, heat capacity, and thermal expansion.…”
Section: Acs Omegasupporting
confidence: 70%
See 4 more Smart Citations
“…We predict that addition of 0.9 wt % of γ-Al 2 O 3 in cryolite increases the thermal diffusivity from 0.65% (at 300 K) to 1.1% (at 836 K). Given the discussion above, the thermal diffusivity of the porous synthetic cryolite sample can be assumed to be identical to that of the dense cryolite In the regular regime, both the radiation-corrected thermal diffusivity and the conductive (true) thermal diffusivity deduced from the apparent thermal diffusivity (raw experimental data) are in excellent agreement with our previous DFT predictions 4 at temperatures up to 810 K, that is, very close to the α → β phase transition temperature of cryolite. Note that the excellent agreement found between DFT and the present MHM experiment results in some error cancelation in the prediction of thermal conductivity, heat capacity, and thermal expansion.…”
Section: Acs Omegasupporting
confidence: 70%
“…In summary, in the present study, we have recorded a series of MHM measurements to determine the apparent thermal diffusivity of a porous α-Na 3 AlF 6 + 0.9 wt % γ-Al 2 O 3 mixture from 473 to 810 K. The thermal diffusivity of this mixture is found to be almost identical to that of pure and dense α-Na 3 AlF 6 . In addition to providing a new set of experimental data for the temperature-dependent thermal diffusivity of cryolite, which is not available in the literature, the excellent agreement found between the experiments and the calculations confirmed the reliability and the high accuracy of our DFTbased method 4 in predicting the thermal transport properties of various phases potentially present in the side ledge of an aluminum electrolysis cell. This study is a good example proving that using first principle calculations to compensate for a lack of data, when carried out combining numerical calculations with physical principles, can lead to very good predictions, even for systems with complex phases.…”
Section: ■ Conclusionmentioning
confidence: 53%
See 3 more Smart Citations