Utility of argon as a suppressant of triboelectrification in pressurized Gas-Solid fluidized beds
Bibliographic record
Abstract
Argon displays a significantly lower dielectric strength compared to nitrogen at ambient pressures, but this difference diminishes as the pressure of the gas increases. This work aimed to examine the usage of argon and its impact on particle charging and column-wall fouling in fluidized beds under pressurized conditions. This study tested the electrostatic charging behaviour of a commercially produced linear low-density polyethylene (LLDPE) resin and its column wall adhesion at pressures of 2600 kPa. Fluidization was performed using pure argon, pure nitrogen, and their equimolar mixtures. Fluidization with nitrogen served as the baseline for comparison. Argon reduced the fouling by 43 %, while the binary gas mixture reduced the fouling by 29 %. The particles’ bulk specific charge also showed a downward trend moving from pure nitrogen to pure argon. The study concludes that argon can be utilized as a triboblelectrification suppressant in pressurized gas–solid fluidized beds.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".