Experimental Measurements of Spectral Emissivity of Al-Si Coated Steel Blanks Undergoing Rapid Heating
Bibliographic record
Abstract
Detailed knowledge of the blank temperature history is essential in hot forming die quenching, in order to ensure adequate austenitization of the steel and transformation of a protective Al-Si later into a permanent Al-Si-Fe coating. This, in turn, requires detailed knowledge of the blank emissivity, which is complicated by the fact that the coating undergoes rapid changes in surface chemistry, and surface roughness as it is heated. This paper spectral emissivity of Usibor® 1500 P as it undergoes heating. Samples were heated in a DSI Gleeble® 3500 under prescribed heating rates. The spectral emissivity was measured ex situ using an FTIR reflectometer, and in situ with a NIR-spectrometer. While the trends agree with manufacturer data in the cases of the as-received and final furnace heating temperature of 900°C, the spectral emissivity changes at a faster rate than previously reported.
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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 | 0.000 |
| 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".