Depth dependence and strain rate sensitivity of indentation stress of 6061 aluminium alloy
Bibliographic record
Abstract
Indentation tests were performed on samples of 6061 aluminium alloy in the annealed, T4 and T6 temper conditions. The tests were performed over a range of loading rates to study the effect of indentation strain rate [Formula: see text] on the indentation depth dependence of the average indentation stress σ ind . While [Formula: see text] changes by several orders of magnitude during the constant loading rate nano-/microscale indentation tests, we observed that the strain rate sensitivity of σ ind increases with decreasing indentation depth for all the samples tested. By applying an obstacle limited dislocation glide description of the deformation process, we were able to demonstrate that the apparent activation energy of the obstacles to dislocation glide increases with decreasing indentation depth and is also dependent upon the heat treatment condition of the 6061 test material. This suggests that, based upon the assumption of the operative deformation mechanism chosen, the strength of the dislocation–obstacle interactions that limit the rate of deformation is significantly increased in indentations of depth <∼4 μm.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".