An Investigation into the Austenite Decomposition Behaviour and Post-Forming Tempering Response of Two 1800 MPa Grades of Press Hardening Steels
Bibliographic record
Abstract
In this research, two different 1800 MPa grades of press-hardening steel were investigated; one with 0.30 wt% and the other 0.32 wt% of Carbon. The suitability of an austenite decomposition model after cooling and the effect of short tempering times after quenching on the final mechanical properties was examined. To assess the austenite decomposition model, both materials were subject to a variety of constant cooling and resulted in a mixed-phase of bainite, martensite, and ferrite. The Gleeble experiments were simulated using LS-Dyna and a thermal-mechanical-microstructural model. In the second investigation (Part II – Short Cycle Tempering), both steels were fully quenched in the Gleeble to produce a fully martensitic microstructure and tempered at temperatures ranging from 100 to 700 °C and times of 0.5 to 15 s For both experiments microhardness tests were conducted on the specimens and a FESEM was used to characterize and quantify the resultant mixed-phase microstructures.
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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 | 0.001 |
| 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) | 0.001 | 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".