Rotating corrugated photoreactor design: Experimental and computational analysis of <scp>TiO</scp><sub>2</sub>‐based photocatalysis
Bibliographic record
Abstract
A TiO 2 ‐coated rotating corrugated reactor is experimentally characterized and simulated for ultraviolet (UV)‐based photo degradation of methylene blue (MB). Using degradation kinetics derived from flat‐plate experiments and finite‐element discrete‐ordinate models simulating spatially and temporally varying radiation patterns from a UV‐lamp array, the simulated reactor performance is experimentally validated and extended to explore the impact of geometry variations. Mass‐transfer limitations between the corrugated surface and the reservoir bulk are identified as a determining factor in the degradation rate of MB. Optimization studies suggest minimizing the corrugation half‐angle to improve reactor performance for a given area, increasing the number of corrugations rather than the corrugation depth subject to practical limitations arising from undesirable bubble formation at small aperture widths. Given the relevance of mass transfer to this system, future work is needed to elucidate the experimental impact of reservoir volume and geometry while validating the use of flat‐plate correlations for mass transfer. © 2012 American Institute of Chemical Engineers AIChE J, 59: 560–570, 2013
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".