A comparative study of the fatigue behavior of Ti‐6Al‐4V circular lattices using numerical and experimental methods
Bibliographic record
Abstract
Abstract Lattice materials are a subset of cellular solids with a periodic microstructure and are of interest in a number of applications because of their potential weight‐saving properties. In this study, circular lattices are machined out of plates made of Ti‐6Al‐4V and fatigue tested to generate an S–N curve. These results are compared to a FEM with fatigue data based on MIL‐HDBK‐5H. A good agreement with the FEM was found, suggesting that the fatigue life of lattices can be modeled without specifically detailed fatigue data. The model accurately predicted the point of failure in most of the lattice specimens and was within 4% of the scatter band. Fractographic analysis showed significant shear features in the fracture surfaces, indicating a rapid shear fracture is likely the dominant mode of failure. Finally, the relationship between equivalent stress and relative density was determined using a variety of optimization schemes.
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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 | 0.001 | 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 | 0.000 | 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".