Numerical Simulation of an Evaporative Spray in a Gas-Solid Crossflow
Bibliographic record
Abstract
Evaporative liquid feeds are often introduced into gas-solid systems through horizontal nozzles in many industry applications. The interactions of gas, particles and evaporative spray play key roles in affecting process efficiency and product quality. Good understanding of the fundamental hydrodynamics of this phenomenon is essential to the design improvement and process optimization. In this work, an Eulerian multi-fluid model for evaporative spray in gas-solid flows is proposed and a three-dimensional numerical simulation of a gas-liquid nitrogen jet in a uniform gas-solid crossflow is performed. In this model, the droplet evaporation and interphase heat transfer are modeled with appropriate semi-empirical correlations. Detailed numerical results of the flow field are obtained and the predicted temperature distribution is compared with experimental measurements in the literature. The evaporative spray jet is investigated under different particles loadings and the effect of spray evaporation on the flow behavior is discussed. Finally, parametric studies are conducted to evaluate the effects of droplet size, jet velocity on the jet behavior.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".