Features of structure and phase transformations in shape memory TiNi-based alloys after severe plastic deformation
Bibliographic record
Abstract
Abstract Amorphous and nanostructured TiNi-based alloys (Ti50Ni50, Ti49.5 Ni50.5, Ti50Ni49Fe1, in at.%) were first produced using two techniques of severe plastic deformation (SPD), namely high pressure torsion (HPT) and equal channel angular pressing (ECAP). X-ray diffraction (XRD) and transmission electron microscopy (TEM) were used to examine the structural states and phase compositions of initial and SPD specimens, their thermostability on annealing and cooling, including in situ experiments. The nanocrystallization temperatures of the amorphous alloys and critical points of martensitic transformations in the crystalline alloys were also determined by means of measurements of the temperature dependence of electrical resistance. It was shown that martensitic transformations in the sequence B2↔R↔B19′ occur in nanostructured TiNi-based alloys or, on the contrary, only a single B2↔R transition can occur in the amorphous-nanocrystalline alloys. In nanostructured SPD-alloys cooled to below the Ms′ or Ms temperatures, nucleation and growth of R- and B19′-martensites occur by a “B2-austenite single nanocrystal — martensite single crystal” mechanism without microtwinning. Only in submicrocrystalline SPD-alloys with coarser B2-grains (larger than 100 – 200 nm) the R and B19′ martensites had a twinned packet morphology.
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 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".