Numerical analysis of the thermoaeraulic behavior of air during the opening of the door of a refrigerated truck trailer equipped with cold plates
Bibliographic record
Abstract
The present work reports the numerical simulation of the heat transfer inside a refrigerated truck trailer equipped with three eutectic plates and fans. The numerical model solves the conjugated heat transfer inside the trailer under unsteady conditions. The conservation equations of mass, momentum and energy are solved in 3D and closed using the k- ω Shear Stress Transport (SST) model. It is first favorably validated against the numerical and experimental data of Lafaye de Micheaux et al. (2015). The results are then extended to investigate the performance of a refrigeration system equipped with eutectic plates for the transport of frozen food products. As no significant 3D effects are reported, a 2D model is adapted to analyze the configurations with the plates placed in series on the roof of the trailer or vertically at its back. During the door opening period, the configuration with the plates placed on the roof without the cargo leads to noticeably lower area-averaged temperatures inside the trailer than the configuration with the plates placed on the back due to the presence of recirculation zones and the cold plates located near the doorway. However, the presence of the cargo eliminates the formation of these zones that limits the infiltration of the outside atmospheric air. Also the configuration with the plates placed in the roof allows the outside atmospheric air to infiltrate earlier, resulting in an overall higher temperature observed for the cargo.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".