Investigation of a Hybrid Frictional Diffusional Bonding Approach to Increase Bond Strength in Solid-State Additive Manufacturing Repair of High-Strength Aluminum Alloys
Bibliographic record
Abstract
Abstract Additive friction stir deposition (AFSD) is a solid-state additive manufacturing technique capable of repairing aluminum alloys with identical filler material, but there are few studies about the lubricant-free round feedstock variant or post-processing avenues for improving performance. The current study investigates the impact of hybrid frictional diffusional bonding (HFDB) as a post-processing route to improve the performance of aluminum alloy AA7075 repaired via AFSD. Implementation of a novel actuator force-control scheme enabled AFSD repairs to be conducted without the aid of lubrication as a potential contaminant. Repairs receiving a combination of HFDB and a post-deposition heat treatment (PDHT) exhibited > 90% of the yield strength and ultimate tensile strength of the wrought control, representing a marked increase relative to repairs that underwent PDHT without HFDB. Fatigue testing of repairs that underwent HFDB and PDHT revealed comparable cyclic performance to the wrought control in the high-cycle regime, indicating the potential of HFDB as a post-processing route to improve repair performance under static and cyclic loading.
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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 | 0.001 | 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".