Strategy for improving the energy output efficiency of TKX-50: introduction of nitroamine explosives
Bibliographic record
Abstract
TKX-50 has attracted the attention of many researchers because of its low sensitivity and high energy characteristics. However, the experimental results show that there is a big gap between the energy level of TKX-50 and the theoretical value. Introducing nitroamine explosives RDX or HMX to stimulate the energy release of TKX-50 is of great significance for improving the energy release efficiency of TKX-50 and expanding its application in the field of energetic materials. In this paper, the properties of different TKX-50/RDX and TKX-50/HMX samples were investigated by thermal analysis and ignition combustion experiments. The results show that RDX has a more obvious catalytic effect on TKX-50. Adding 50% RDX reduces the peak thermal decomposition temperature of TKX-50 from 241.7°C to 218.7°C. At the same time, the flame propagation, maximum combustion pressure, and the pressurization rate of different samples during combustion were analyzed, and the reaction mechanism between RDX (or HMX) with TKX-50 was obtained. Because of the different catalytic effects of RDX and HMX on TKX-50, a strategy was proposed to construct the core-shell structure of TKX-50 to improve the reaction characteristics and energy release efficiency of TKX-50.
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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 | 0.001 | 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".