Damage studies in heterogeneous aluminium alloys using X-ray tomography
Bibliographic record
Abstract
The role of damage on the mechanical response of a heterogeneous material was investigated through X-ray tomography combined with in situ tensile deformation. This technique enables one to follow the same population of damage-nucleating particles throughout a tensile test. The results indicate that heterogeneity in the spatial distribution of particles does influence the damage process. In particular, particles that are in clusters tend to nucleate damage at lower strain than isolated particles. Nucleation is also enhanced for larger particles and those with higher aspect ratios. Increasing the number of neighbours around a non-isolated particle has no additional influence on the evolution of damage. A model accounting for the multiple cracking of the second phase particles has been developed and incorporated into a self-consistent effective medium analysis model that includes the final stage of damage linkage between cracked particles. The results suggest that while multiple cracking of particles during deformation does accelerate the loss of work hardening with flow, the linkage of damage is the dominant feature which controls the final ductility.
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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 | 0.001 | 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 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".