Photothermal depth profilometry of heat-treated hardened 0.15%–0.2%C, 0.6%–0.9%Mn Steels
Bibliographic record
Abstract
The thermal-diffusivity depth-profilometric properties of hardened AISI1018 steel samples (0.15%–0.2%C and 0.6%–0.9%Mn) are investigated from experimental data and compared to their microhardness depth profiles. To fully understand the effect of the individual steps of the heat-treating process on the thermal-diffusivity of the steels, the thermal-diffusivity depth profiles are reconstructed using laser infrared photothermal radiometry. The inverted depth profiles are compared to the results of microhardness testing after each step of carbonitriding and quenching. The comparison shows that there is a good to excellent anticorrelation between hardness and thermal-diffusivity profiles for both carbonitrided and quenched samples with 0.02in. case depth and gradually worsening anticorrelation trends for 0.04 and 0.06in. case depths. It is concluded that for this particular steel, both carbon diffusion and the complicated carbonitrided microstructure affect the absolute values of the thermal-diffusivity profiles as well as their depth distribution.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".