INVESTIGATION OF THE EFFECTS OF POROUS MEDIA AT THE EXIT OF COUNTERFLOW COMBUSTION USING THE LATTICE BOLTZMANN METHOD
Bibliographic record
Abstract
In this study, the lattice Boltzmann method is utilized to investigate the effects of porous medium at the exit of the counterflow combustion. Porous matrices with different arrangements are created by scattering solid obstacles inside the flow path. The LBM model is used for simulation of conduction heat transfer between the discrete parts of the porous medium. A single-step chemical reaction is used for modeling of the combustion of propane/air mixture and properties are recorded at the exit of the domain. However, to investigate the effects of porous media on the emission of the intermediate species like CO, a two-step chemical reaction is utilized to model the methane/air combustion. The results show that the presence of the porous media decreases the maximum exit temperature and causes a more uniform temperature profile at the exit compared with results of combustion without porous medium. Also, utilizing porous media reduces the CO and unburned fuel concentration at the exit and consequently increases the combustion efficiency. Effects of the different porous structure on exit temperature and species concentrations are also investigated in this study.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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 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".