CFD modelling of conjugate heat transfer in a pilot‐scale unbaffled stirred tank reactor with a plain jacket
Bibliographic record
Abstract
Abstract Semi‐conjugate and fully‐conjugate computational fluid dynamic investigations of the flow and heat transfer in a 25 L pilot‐scale unbaffled stirred tank reactor with a plain jacket are reported. A hot heat transfer fluid (DW‐Therm) flows through the plain jacket and heats water in the vessel, which is agitated by a pitched three‐blade impeller. The shape of the free‐surface of the vortex formed in the unbaffled vessel is captured by the use of a homogeneous multiphase and free‐surface flow model. The simulations of flow and heat transfer are carried out using the ANSYS CFX (V.15) code. The semi‐conjugate simulation considers the vessel wall and the vessel contents, and the fully‐conjugate simulation also includes the flow in the jacket. The upward flow in the jacket is uneven and this dominates the distributions of heat transfer coefficients and shear stresses on the inner and outer surfaces of the vessel wall. The downward motion created by the impeller generates very high heat transfer on the base surface of the vessel, but this is nullified by a stagnation zone in the base region of the jacket. Overall heat transfer coefficients evaluated from average film heat transfer coefficients values from the simulations are around 15 % higher than those evaluated from correlations in the literature. In this pilot plant facility, the combined thermal resistances for the convection in the jacket and across the glass wall dominate the overall heat transfer coefficient.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".