Quantitative mapping mechanism between thermo-flow coupled characteristics and cutting performance of oxygen-propane cutting nozzles
Bibliographic record
Abstract
ABSTRACT The present study is founded upon the theoretical framework of isentropic flow, and it puts forward a structural enhancement, of the Laval type, for the oxygen channel of a commercial straight-tube oxygen-propane cutting nozzle. Initially, numerical simulation methods were utilised to examine the preheating flame characteristics of the designed nozzle and the thermal-fluid coupling mechanism between the preheating flame and the cutting oxygen jet. The validation of the simulation results was achieved through the execution of in-situ testing experiments. The study indicates that the characteristics of the cutting oxygen jet are the key factors determining the cutting performance of the flame nozzles. The protective effect of the preheating flame has been shown to significantly improve the flow field characteristics of the oxygen jet (e.g., extending the length of the unmixed high-purity oxygen jet and the length of the velocity core zone). The improved nozzle was finally prototyped and tested on a 332 mm-thick ship engine crankshaft forging (S34MnV steel) under design conditions. This process was successful in revealing and establishing a quantitative mapping relationship between the coupled flow field characteristics and the cutting performance of the nozzle.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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".