Stress Induced Martensitic Transformation Studied by Neutron Diffraction
Bibliographic record
Abstract
Neutron diffraction is an ideal tool for the study of stress induced martensitic transformation. The method is well established for the measurement of internal stress in two phase materials, since its selectivity allows the partitioning of stress between phases and grain families to be determined. A material undergoing a stress induced phase transformation is an example of a two phase material in which the volume fractions vary during the loading history; as such, internal stress plays a crucial role in its mechanical behaviour. In addition to the determination of internal stress, the neutron method gives information on the evolving texture of the material, and thus the preferred martensite variants which develop under loading. Moreover, by Rietveld refinement of the diffraction spectra, phase volume fractions may be determined. This paper presents results and analysis of neutron diffraction studies into stress induced martensitic transformation. In Fe-Ni-C TRIP (TRansformation Induced Plasticity) steel, the development of internal stress under uniaxial tensile loading reveals the reinforcing role of the growing martensite phase. The observed load transfer contributes to the strain hardening of the material, suppressing strain localisation and preventing necking. This identifies the role of internal stress in the origin of TRIP. Moreover, the evolution of texture shows that austenite grains with parallel to the tensile axis transform preferentially. The data is interpreted using a model based on infinitesimal deformation theory.
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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 | 0.001 |
| 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".