Flow field characteristics in a counter flow contact‐cyclone reactor for preparation of epoxy fatty acid methyl ester
Bibliographic record
Abstract
Abstract The flow field characteristics of a counter flow contact‐cyclone reactor (CFC‐CR) used for the production of epoxy fatty acid methyl esters were analyzed using Reynolds stress model and Eulerian model. The effect of reaction chamber height, impact distance, and accelerating pipeline length on the flow field distribution and mixing performance in the reaction chamber were investigated. The results show that the height of the reaction chamber mainly affects the mixing time of the two phases. When the height of the reaction chamber is greater than 120 mm, increasing its height has little improvement on the mixing efficiency. The impact distance significantly affects the uniformity and intensity of the flow field on the impact plane, thereby altering the overall mixing effect in the reaction chamber. When the impact distance is 30 mm, the flow field distribution is uniform, and the intensity of vortices is high, which is beneficial for mixing the liquid mixture. The accelerating pipeline length effectively improves the premixing effect, meanwhile, it ensures a smaller relative velocity difference when the mixture enters the reaction chamber. Both the premixing effect and the flow field distribution perform well with the accelerating pipeline length of 40 mm. Ultimately, the optimal reaction chamber structural parameters, evaluated based on the mixing effect, are determined to be H = 120 mm, L = 30 mm, and T = 40 mm.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 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".