Effect of post-weld heat treatment on the mechanical properties of AA6061 friction stir welded joints
Bibliographic record
Abstract
Aluminum alloys are increasingly used as part of light-weighting strategies for manufacturing components in the transportation sector. Widespread application has, however, been limited by the low weldability of high strength aluminum alloys, such as crack sensitive grades of the 2XXX, 6XXX and 7XXX series. As a solid-state joining process, friction stir welding (FSW) presents a tremendous potential for assembling 6xxx series aluminum structures due to the low energy involved, which allows lower welding-induced distortions and improved mechanical performance of the joint. In this work, FSW of 3.18 mm thick AA6061-T6 sheets was investigated to examine the influence of weld pitch on the microstructure and mechanical performance of butt joints. The mechanical properties of the welds were found to be lower than those of the AA6061 in the T6 temper. A post-weld heat treatment was effective for bringing the mechanical properties close to the base metal values.
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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) | 0.001 | 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".