The robustness of the two‐colour assumption in pyrometry of solidifying AISI D2 alloy droplets
Bibliographic record
Abstract
A drop tube‐impulse atomization technique was used to produce D2 tool steel powders. Shadowgraph (Sizing Master Shadow from LaVision GmbH in Göttingen, Germany) was utilized to measure in‐situ velocity and droplet size. Simultaneously, the DPV‐2000 (Tecnar Automation Ltée, St. Hubert Quebec, Canada) was used to measure the radiant energy and droplet size of atomized droplets. These devices were mounted on a 3D translation stage which was designed, constructed and installed in the drop tube. The measurements were done at three different distances from the molten metal crucible, 4 cm, 18 cm and 28 cm. A thermal model of droplet cooling was coupled with the temperature of primary phase undercooling for D2 tool steel. The results from this model were used in order to find the emissivity behaviour of the droplets. It is shown that emissivity of the droplets is a function of size and temperature. It was concluded that the DPV‐2000 should be considered as a single color pyrometer since the gray body assumption for D2 tool steel falling droplets using DPV‐2000 during is invalid for the range of measurements taken.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".