Full‐field <scp>PIV</scp> / <scp>DIA</scp> and local concentration measurements of ozone decomposition in riser‐flow
Bibliographic record
Abstract
Abstract A full‐field PIV‐DIA technique has been coupled to concentration measurements in order to characterize the riser performance at different gas superficial velocities and reaction rates for ozone decomposition. Experiments under riser flow conditions were performed with the use of a compact pseudo‐2D lab‐scale riser reactor. The purpose of this work is to generate reliable experimental data to validate computational models for mass transfer in riser flow conditions. The catalytic activity of the particles was characterized. To analyze the reaction rate effect over the performance of a riser reactor, two catalyst batches with different activities were used and their kinetics were measured. The hydrodynamics of the gas‐solid flow was determined using the PIV‐DIA technique. Particle clusters were identified and characterized. By correlating the cluster information and mass concentration measurements, it was shown that a higher frequency of local flow heterogeneities near the walls led to higher conversion rates than in the core of the riser. Reaction rate and gas superficial effects are analyzed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".