Mechanical behavior of Al6061 produced by laser powder bed fusion: Effects of heat treatments and strain rates
Bibliographic record
Abstract
Al6061 is an important structural alloy, but its processing by additive manufacturing (AM) is challenging due to high porosity and cracking susceptibility. In this study the effects of heat treatment (direct aging (DA), annealing, T6, and hot isostatic pressing (HIP)) and strain rate on the microstructure and mechanical behavior of porous PBF-LB Al6061 were investigated. Split-Hopkinson pressure bar (SHPB) was used in dynamic compression experiments at strain rates from 5x10 2 to 1.8x10 3 s −1 , while quasistatic tests performed at strain rates 1x10 −4 and 1x10 −3 s −1 . Microstructural analyses revealed that as-built and all heat-treated conditions had significant porosity (∼3.5–5 %), and there were no consistent changes in grain size or texture. Microhardness and compression tests showed that as built and DA specimens had the highest hardness and flow stresses. In contrast, annealed, T6, and HIP conditions caused softening, and HIP specimens showed the lowest strengths. Under dynamic compression, all specimens exhibited increased flow stress compared to quasistatic loading, with strain rate sensitivities ranging from 12 % in the as built to 27 % in annealed specimens. In addition, all specimens had lower Poisson's ratio under dynamic loading compared to quasistatic loading. These findings show the limited effectiveness of conventional post-processing strategies in eliminating porosity or improving strength in PBF-LB Al6061. • As-built and heat-treated PBF-LB Al6061 show 3.5–5 % porosity. • Direct aged (DA) and as-built specimens give highest hardness and flow stress. • Annealing, T6, and HIP cause significant softening. • Dynamic loading increases flow stress vs. quasistatic loading. • Lower Poisson's ratio is observed under dynamic compression.
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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 | 0.000 |
| 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".