A study on laser welding of dissimilar joints of Ti6Al4V and AA7075 using a cu interlayer: Mechanical properties and corrosion behaviour
Bibliographic record
Abstract
This study investigates the use of a copper (Cu) interlayer in dissimilar laser welding between AA7075 and Ti6Al4V alloys. The primary purpose of the Cu interlayer is to reduce the formation of brittle intermetallic compounds (IMCs), which can weaken the mechanical integrity of the welded joints. Corrosion performance was examined using potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) tests. The findings reveal that incorporating the Cu interlayer significantly enhances the fusion between the dissimilar alloys, resulting in joints with improved mechanical strength (240 MPa) and corrosion resistance. Corrosion tests showed the joint had intermediate corrosion resistance (corrosion current density i Corr of 1.0297 × 10 <συπ>−5 A/cm² and polarization resistance R p of 3.07 K Ω.cm 2 ) compared to the base material.
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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".