Étude numérique et expérimentale d’une conversion de fluide frigorigène sur un sécheur d’air comprimé industriel Conditionair
Bibliographic record
Abstract
The refrigerant HCFC R-22 is used in variety of refrigerating and heating equipments. Nevertheless, this refrigerant has been scheduled to be phased out by the Montreal Protocol. This ruling will result in a considerable reduction of ozone layer depletion and global warming associated with its use. However, many refrigeration and heating equipments are still working with the refrigerant R-22. This document is about a refrigerant retrofit implementation on an industrial compressed air dryer created by the company Conditionair. The HCFC R-22 have been here replaced by an HFC refrigerant. First, the performances of this industrial device has been simulated with five substitute refrigerants. The characteristics of heat transfer during the vaporization of azeotropic and zeotropic refrigerants have been studied and the average heat transfer coefficient have been calculated with a VBA macro command. Simulated performances of the air compressed dryer working with each of the five substitute refrigerants are shown and discussed. Two tests are then carried out with the use of two different refrigerants. The performances of the device are measured on the site and compared with the performances first simulated. Finally, a result analysis is performed and the refrigerant providing the best operation of the compressed air dryer is selected.
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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 | 0.001 |
| 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".