Effect of fine coke particles on rheological properties of the binder matrix of carbon anodes in aluminium production process
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Aluminium production through the Hall‐Héroult process relies on an extensive use of carbon anodes, which are originally made of coal tar pitch and fine and coarse carbon particles. During the forming process of green anodes, the mixture of the fine particles and the coal‐tar pitch (i.e., the binder matrix) moves between the coarse particles and produces a uniform agglomerated paste. The efficiency of the forming process directly affects the final quality of the baked anode and consequently the efficiency of the Hall‐Héroult process. The rheological properties of the binder matrix play a crucial role in the forming process. In this study, rotation and oscillation tests are used to study the effects of the fine particle concentration and temperature on the viscoelastic properties of the binder matrix. The rotation tests demonstrate that the binder matrix is a shear‐thinning material and that the viscosity is reduced by increasing the shear rate and temperature while it is increased by increasing the concentration of the fine particles. Moreover, the proposed model can predict the viscosity of the binder matrix precisely. The oscillation tests confirm that the elastic and viscous properties are reinforced by increasing the concentration of the fine particles and they are reduced by increasing the angular frequency and temperature. The three‐element Maxwell model is shown to predict the elastic and viscous moduli of the binder matrix. Finally, in a case study and based on the rheological results, the permeation velocity of the binder matrix between the coarse particles is calculated.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it