Performance analysis of a dual-loop cooling system for engineering vehicles
Bibliographic record
Abstract
To improve the efficiency of heat transfer from the cooling system of non-road mobile machinery, a modification has been made to the classic cooling system. Specifically, we divide the classic cooling system into two independent cooling loops, namely, the high-temperature cooling loop and the low-temperature cooling loop. Through simulation and experimentation, the dual-loop cooling system was systematically studied, and it was found that the heat dissipation of the dual-loop cooling system was better than that of the single-loop cooling system. In comparison with the classic cooling system, the volume factor of our system increased by 49.3%, the power factor increased by 24.5%, the effective drag coefficient increased by 5.8%, and the compressed air loop length was shortened by 54.5%. In addition, the dual-loop cooling system can greatly reduce the temperature of pressurized air. The proposed new system can better meet the cooling needs of non-road mobile machinery.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".