Modeling the influence of grain-level matrix inhomogeneity on strain localization in the presence of hard particles
Bibliographic record
Abstract
The influence of grain-level matrix inhomogeneity on strain localization in sheet metals has been studied using a two-dimensional plane stress model containing two hard particles by finite element analysis. When the matrix material is treated as a homogeneous continuum, the localization strain decreases with interparticle spacing for particles aligned along the loading direction. In the case of an inhomogeneous matrix, consisting of grains of different Taylor factors corresponding to different crystallographic orientations, the position of the localization band and the value of localization strain seem to be insensitive to the interparticle spacing. Instead, localization forms preferentially in the softer grains within the matrix. The amount of post-localization deformation decreases significantly when the two particles straddle the shear band. It is concluded that the stress concentration that develops between two closely spaced particles does influence the shear localization process but the matrix inhomogeneity dominates localization behavior during sheet metal deformation.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 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".