Three-dimensional analysis of local and dominant habit planes in a lath martensitic stainless steel
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The three-dimensional (3D) morphology of lath martensite in a low-carbon 13Cr–4Ni stainless steel (CA6NM alloy) was reconstructed using large-volume Xe + plasma focused ion beam (PFIB) serial sectioning tomography in combination with electron backscatter diffraction (EBSD). This approach enabled a detailed analysis of both dominant and local habit planes (HPs), offering new insights into their spatial distribution and variation. The dominant HP, determined by averaging the normal directions of high-angle block boundaries (BBs) within packets and across multiple prior austenite grains (PAGs), was found to lie between {111}γ and {557}γ, with an orientation of (0.51,0.52,0.66)γ. However, local HP analysis at individual BBs revealed significant deviations from both orientations in certain regions of the microstructure. 3D morphological observations indicated that bending within specific blocks directly contributed to these local HP variations. It is suggested that interactions between adjacent growing blocks, either through spatial interference and growth competition within a single packet, or hard impingement between blocks from different packets, affect growth paths, ultimately leading to block bending and the macroscopic deflection of interface planes. These findings highlight the intricate interplay between microstructural evolution and crystallographic constraints during martensitic transformation, demonstrating the effectiveness of large-scale 3D characterization in capturing complex microstructural phenomena that are difficult to resolve through conventional 2D analyses.
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.
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 it