BORON NANOPARTICLE-RICH FUELS FOR GAS GENERATORS AND PROPELLANTS
Bibliographic record
Abstract
This study reports on the production and characterization of energetic polymer-capped boron for solid fuel applications. It is known that the addition of metal and metal-like particles to solid fuels and propellants can improve the performance of both rocket and air-breathing propulsion systems. The use of boron is very attractive for these applications due to its high heat of combustion on both a gravimetric (58 kJ/g) and volumetric (136 kJ/cm3) basis. However, the exploitation of the high theoretical energy of boron has been limited by a few undesirable properties of this metal. Among them, one notes the existence of a resilient oxide layer on the particle surface affecting the ignition and combustion of boron particles. The capping of boron nanoparticles with a polymer can provide a solution to the aforementioned problem. The use of an energetic polymer for that purpose can bring additional heat close to the surface of the nanoparticles and facilitate their ignition. In the present work, boron nanoparticles were produced by synthesis of surface-functionalized boron. The route was adapted to obtain additional hydroxyl-functional groups on the particles. These hydroxyl sites were used to graft a diisocyanate, and then produce an energetic polymer matrix based on polyurethane chemistry by addition of glycidyl azide polymer, resulting in boron nanoparticles coated by energetic polymers. This can lead to significantly enhanced boron particle combustion.
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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 | 0.000 |
| 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 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".