Flame dynamics and spread in atomizing multicomponent droplets of biodiesel and ethanol doped with graphene oxide
Bibliographic record
Abstract
The effects of heterogeneous and homogeneous atomizations on combustion dynamics and flame spread rates of multi-droplets are experimentally investigated. The utilized fuel is biodiesel, which is blended with ethanol and doped with graphene oxide. Scanning Electron Microscopy, Raman spectroscopy, and X-ray diffraction experiments were conducted to characterize the utilized graphene oxide. Stable fuel suspensions are prepared. Either one droplet is positioned at the intersection of three thin fibers or an array of three droplets is positioned along a horizontal line and at the intersections of the fibers. For the latter configuration, either the droplet at the center or that on the right-hand-side is ignited. Simultaneous and time-resolved flame chemiluminescence and shadowgraphy techniques are utilized for imaging the flame and droplets, respectively. It is observed that, for a single droplet combustion of biodiesel, relatively low frequency (about 10 Hz) dynamics appear in the second half of the droplet life-time, which is due to heterogeneous atomizations. Blending with ethanol leads to homogeneous atomizations with dynamics featuring frequencies smaller than 50 Hz and at the beginning of the droplet lifetime. For all tested multi-droplet configurations, independent of the graphene oxide doping concentration and blending with ethanol, the most dominant frequency of flame chemiluminescence oscillations is about 10–15 Hz. It is observed that the heterogeneous atomizations lead to a flame spread rate of about 6 mm 2 / s . Compared with that for heterogeneous atomizations, the flame spread rate for homogeneous atomizations are significantly larger (10–40 mm 2 / s ) and feature a positive relation with the root-mean-square of the main droplet’s flame chemiluminescence oscillations. Overall, the results of the present study underline the important role of atomizations on the flame dynamics and how fast the flame spreads in multi-droplet configurations. • Flame oscillations of homogeneous atomizations were larger than heterogeneous ones. • Flame spread rates were higher in ethanol–biodiesel blends than those for biodiesel. • Modes of flame spread among multi-droplets affected by atomizations were identified. • Doping with graphene oxide had small impact on flame spread of low-volatility fuels.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".