OH* Chemiluminescence, Flame Structure and CFD Analysis of A Partially- Premixed Acetylene/Air Flame
Bibliographic record
Abstract
Supercritical convection heat transfer in porous mediums are attractive in various new applications, and local thermal nonequilibrium effect is one of the major thermal effects for porous heat transfer under macroscopic scale study.However, conventional studies were developed based on constant property fluids, which is doubtful for supercritical fluids with non-linear thermophysical properties.In this study, supercritical CO2 heat transfer through a porous ceramic medium, C/SiC composite material, is conducted experimentally.The experimental data under various operating parameters including inlet temperature, mass flow rate, pressure, are further combined with a numerical model to figure out the solid-fluid heat transfer coefficient and the local thermal non-equilibrium effect between supercritical CO2 and porous ceramic medium.The results show that the local thermal non-equilibrium effect exists widely, and the local thermal equilibrium can only exist under some specific cases, reminding the importance of local thermal nonequilibrium effect for numerical modeling of supercritical CO2 flow in porous ceramic medium.Besides, all the local thermal equilibrium cases appear near pseudo-critical temperature region, but not vice versa, with the addition of the failure of conventional criteria, implying more complicated heat transfer mechanisms occur due to dramatic thermophysical property changes.This study will be a useful base for clarifying heat transfer mechanisms of supercritical fluids flow through porous medium.
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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".