A Microstructural and Damage Investigation into the Low Temperature Impact Behavior of an HSLA Steel
Bibliographic record
Abstract
Stelco, a Canadian steel making company produced a hot rolled coil of a G40.21 50WT High Strength Low Alloy (HSLA) steel. The material needed to meet a demanding Drop Weight Tear Test (DWTT) specification at -35℃. The coils produced using a coiling temperature of 540℃ did not meet the DWTT specification with mixed pass/fail results. A second coil produced using a coiling temperature of 500℃ met the DWTT specification, but still with mixed results. To investigate this, a two-part study was undertaken. The first part investigated the effect of coiling temperature on the microstructure and CVN impact behavior. It was found that 540℃ coiling temperature resulted in a coarser grain size but less initial void/inclusion content. Furthermore, CVN testing showed that the material coiled at 540℃ had better impact toughness. The second part investigated the mixed pass/fail results for the DWTT and CVN tests conducted at -35℃ for the material coiled at 500℃. The results showed that there were no obvious differences between the pass and failed specimen in terms of microstructure, initial porosity, damage evolution and impact testing behavior, which suggests that the test temperature of -35℃ was within the ductile-brittle transition of this material.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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".