Heat-Transfer Analogy for Wax Deposition from Paraffinic Mixtures
Bibliographic record
Abstract
Wax deposition from mixtures of a paraffinic wax (C 20 −C 40 ) dissolved in n -dodecane (C 12 ) was investigated. A novel batch apparatus was developed, in which the flow of a “hot” wax−C 12 mixture was accomplished with an axial flow propeller while the solid deposition took place on the inner “cold” surface of a draft tube. The effects of mixture composition, shear rate, residence time, and temperature on solid deposition were studied at pseudo-steady state. Predictions from a steady-state heat-transfer model were in good agreement with experimental data, which confirmed the wax deposition process to be controlled primarily by heat transfer. A temperature difference ratio corresponding to the fractional temperature difference across the deposit layer was related to the amount of deposited solids. GC analyses of the deposited solids were used to study compositional changes within the liquid and solid phases.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".