Microstructural evolution and characterization of a ferroniobium alloy
Bibliographic record
Abstract
Niobium in the form of a ferroniobium alloy is added during the steel-making process to improve the mechanical properties of steel, but it may contain phase(s) with high melting temperatures that may be slow to melt or dissolve. It has been suggested that these phases lead to the presence of coarse Nb-rich particles in the resultant steel, which may adversely affect the mechanical properties. In the present study, electron microscopy and differential scanning calorimetry (DSC) were used to identify phases and microstructural evolution of a commercial grade ferroniobium alloy. The ferroniobium alloy was composed of two main phases, that is, Nb-rich solid solution and μ phase (Fe 7 Nb 6 ). The μ phase (Fe 7 Nb 6 ) was formed as a result of three reactions and exhibited three different morphologies based on their formation temperatures (proeutectic intermetallic, eutectic intermetallic and eutectoid intermetallic). The intermetallic that formed via the eutectic reaction was slightly Nb-rich and was heavily faulted. The Nb-rich eutectic portion of the Fe-Nb binary-phase diagram was also modified based on the DSC results to incorporate the effect of impurities in commercial alloys. On the basis of solidification study, the estimated cooling rate for the as received ferroniobium alloy was 10 K/min.
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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".