Теплообмен и гидравлические потери в зазоре между вращающимися цилиндрами
Bibliographic record
Abstract
Despite the large number of works devoted to the study of flow between coaxial rotating cylinders, little attention was given to the issues related to the complex influence of complementary factors, such as surface roughness and surface relief, the presence of the forced flow of fluid through the annular gap, on the heat transfer and flow structure. This is due to a major complication formulation of the problem when these additional factors are considered. At the same time, these factors must be considered in order to cover the existing practical applications. In this paper we examine the effect of roughness and surface relief, the forced flow of fluid through the annular gap on heat transfer between the cylinders and flow, as well as on hydraulic losses. A comparison of exiting data about impact of various factors on heat transfer and hydraulic losses is carried out on the common methodological basis. The examination is based on the known results about the impact of forced axial flow and longitudinal grooves on the cylinders surface and includes the recent data of numerical simulation of Taylor-Couette problem with radial through-flow. The results show that the radial flow through the surface of rotating cylinder provides a substantially larger increase in the heat transfer coefficient in comparison with other examined methods. The data obtained justify the new way of improvement of the technical devices that implement convective heat transfer near the surface of a rotating cylinder.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.005 |
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".