Fatigue and deformation mechanisms of ultrasonic spot-welded dissimilar joints of a magnesium alloy to a clad aluminum alloy
Bibliographic record
Abstract
• Alclad 2024 Al alloy is successfully spot-welded to ZEK100 Mg alloy. • Optimal interdiffusion between Mg alloy and softer clad Al layer occurs at 1000 J. • Superior tensile lap shear strength is achieved in the Al/Mg dissimilar spot weld. • Higher fatigue resistance is obtained for the weld made at 1000 J than 2000 J. • ‘Fishhook’-like mechanical interlocks are present at the weld interface. A low rare-earth containing ZEK100-O magnesium alloy was welded to AA1230-clad high-strength AA2024-T3 aluminum alloy via solid-state ultrasonic spot welding (USW) to evaluate the microstructure, tensile lap shear strength, and fatigue properties. The tensile strength increased with increasing welding energy, peaked at a welding energy of 1000 J, and then decreased due to the formation of an increasingly thick diffusion layer mainly containing Al 12 Mg 17 intermetallic compound at higher energy levels. The peak tensile lap shear strength attained at 1000 J was attributed to the optimal inter-diffusion between the magnesium alloy and softer AA1230-clad Al layer along with the presence of ‘fishhook’-like mechanical interlocks at the weld interface and the formation of an indistinguishable intermetallic layer. The dissimilar joints welded at 1000 J also exhibited a longer fatigue life than other Mg-Al dissimilar joints, suggesting the beneficial role of the softer clad layer with a better intermingling capacity during USW. While the transverse-through-thickness (TTT) failure mode prevailed at lower cyclic loading levels, interfacial failure was the predominant mode of fatigue failure at higher cyclic loads, where distinctive fatigue striations were also observed on the fracture surface of the softer clad Al layer. This was associated with the presence of opening stress and bending moment near the nugget edge despite the tension-tension lap shear cyclic loading applied.
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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) | 0.001 | 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".