Heat Transfer Coefficient Characterization for Hot Stamping of Boron Steel Blanks
Bibliographic record
Abstract
Hot forming die quenching (HFDQ) is an emerging process in which sheet metal is successively stamped at high temperature and quenched by the cold tool. The microstructure and mechanical properties of ultra high strength steel parts formed by the HFDQ process are a function of the cooling rate achieved during the quenching step. Optimal energy absorption for crash performance can be obtained by a local reduction of the cooling rate in order to form softer, more ductile phases such as bainite. Accurate characterization of the heat transfer coefficient (HTC) between the sheet metal and the cold tool is required to evaluate the cooling rate and the resulting mechanical properties. Experiments were conducted in which Usibor 1500P® boron steel blanks were austenitized at 900°C then quenched by stamping between flat tool steel dies. The HTC was calculated using an inverse heat conduction analysis for the die and a lumped capacitance approach for the blank. The heat transfer coefficients measured during the approach phase were found to be significantly lower than the values predicted by semi-empirical models based on thermal conduction through the air gap.© 2012 ASME
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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".