Investigation of Exothermic Behaviors of Energetic Particles in Microfluidics Channels
Bibliographic record
Abstract
Abstract Energetic composites are highly suitable thermal energy source for microelectromechanical systems devices, especially fluidics devices. This study investigates the delivery and energy release of Al@CuO core‐shell thermite microparticles in a microchannel filled with NaCl solution. Their transportation and ignition are achieved using electrical microfluidic transport and plasma generated by electrical discharging at various voltage conditions. The microchannel featured a converging–diverging geometry optimized for non‐intrusive electrical discharging at its throat and jet formation at its exit. Numerical simulation is carried out to model the spatial electrical potential distributions. Experimental results confirmed the microparticles are able to be transported and collected at the throat at low voltage while Joule heating induced bubble formation and subsequent electrical breakdown occurred at 120 V. At a higher voltage of 500 V, electrical discharging happened ubiquitously in solution, resulting in the ignition of energetic particles, resulting in a high momentum butterfly‐shaped jet. The temperature profiles, achieved through high‐speed infrared imaging, show the originally symmetrical temperature distribution surrounding the throat is extended to a broader zone with high temperatures at its center. Finally, the combustion of Al@CuO in microchannel is confirmed by 488 nm emission footprint, which agreed with the high‐temperature hot spots during the exothermic process. Microstructural analysis also demonstrates the existence of combustion products.
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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".