Microstructure Evolution in Directionally Solidified Fe–C–Mn–(Si) Peritectic Steels
Bibliographic record
Abstract
Bridgman solidification experiments are carried out on Fe–C–Mn–Si peritectic steels to clarify how growth velocity ( V ) and alloy composition govern microstructural evolution. At velocities of 10–120 μm s −1 , the microstructures exhibit competitive growth between primary δ dendrites, are subsequently enveloped by γ ‐austenite in the interdendritic regions. The primary dendrite arm spacing (PDAS) decreases systematically with increasing V but coarsens unexpectedly at intermediate growth rates in the presence of silicon. Experimental measurements are benchmarked against PDAS scaling models to assess predictive accuracy. Particular attention is given to the role of Si in modifying interfacial morphology and mushy zone characteristics. The results demonstrate that elevated Si levels, when coupled with faster growth velocities, extend the mushy zone length and are associated with increased susceptibility to interdendritic solidification cracking. These findings provide mechanistic insight into crack formation in peritectic steels and highlight composition–processing interactions critical for continuous casting practice.
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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 | 0.000 | 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".