Modeling of the Agglomeration Phenomena in Combustion of Aluminized Composite Solid Propellant
Why this work is in the frame
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Bibliographic record
Abstract
Abstract A theoretical model was developed in order to predict the size of agglomerates ejected from aluminized composite solid propellants. The model accounts for aspects of both mechanistic and geometric approaches. A thin mobile surface layer is assumed to dominate particle accumulation. Agglomeration number N ag expressing the ratio between ignition and accumulation times, was found to greatly affect the characteristics of agglomeration phenomena, as noted in previous works. The concept of a characteristic distance D e of the mobile surface layer was introduced, depending mostly on coarse AP particle diameter and loading. It was found to have a significant effect on the resulting agglomerate diameter. An agglomeration threshold was defined as the particle diameter equal to the mobile layer thickness. Particles smaller than this threshold have shown tendency to form large agglomerates, whereas particles with a somewhat larger diameter have demonstrated faster ignition and smaller ejected agglomerates. Model predictions for a number of propellant compositions showed good agreement with other theoretical studies as well as with experimental results.
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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