Cooling of a reciprocating compressor through oil atomization in the cylinder
Bibliographic record
Abstract
An analysis of the influence of oil atomization in the cylinder of a reciprocating compressor is presented in this paper. During compression, oil atomization enhances heat removal from the refrigerant gas. This cooling effect, which eventually results in a global temperature decrease of the compressor parts, aims primarily at reducing the refrigerant superheating in the suction system and inside the cylinder, which is largely responsible for overall energy losses and a decrease of the volumetric efficiency. A prototype was constructed and tested with R-134a in a hot gas-cycle calorimeter. A significant reduction of the compressor thermal profile has been achieved, with the largest variations of 30.9°C (55.6°F) and 23.6°C (42.5°F) in the discharge chamber and cylinder wall, respectively. A major dependence of the compressor efficiency parameters on the refrigerant solubility in the oil has been observed. A simulation model using an integral control volume formulation for mass and energy conservation in the cylinder and in other compressor components is proposed. Based on this model, the effect of oil atomization on the compressor performance is presented and discussed in terms of oil injection parameters, such as nozzle position, oil temperature and flow rate.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".