High temperature deformation of austenite: Texture and anisotropy effects
Bibliographic record
Abstract
The deformation of low carbon steels at high temperature in austenite is technologically important but its study is complicated by the decomposition of austenite upon cooling which does not allow for direct characterization of the microstructure. In this study, the grain size and crystallographic texture of austenite were assessed by reconstruction of the prior austenite grains from the ambient temperature bainite. The austenite microstructure was found to consist of nearly equiaxed grains with annealing twins and a texture similar to copper deformed in plane strain. This texture was rationalized by visco-plastic self-consistent (VPSC) simulations. The presence of a non-random texture was predicted to lead to an anisotropic plastic response which was confirmed by experiments. A constitutive model for the high temperature flow stress was established in the Kocks-Mecking framework for work hardening and fit to experiments. The model described the experiments well and was validated by independent compression tests. Finally, the work hardening behaviour was assessed in comparison to other FCC metals. Its behaviour was found to fall between copper and silver, closer to copper.
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 | 0.000 | 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".