Effect of heat treatment on microstructural evolution and corrosion behavior of wire-arc additive manufactured nickel aluminum bronze alloy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the pursuit of enhancing the corrosion resistance of wire arc additive manufactured nickel aluminum bronze (WAAM-NAB) alloy, this study explores its microstructural evolution and corrosion behavior before and after heat-treatment. The findings unveil that annealing significantly improves the alloy’s microstructure by increasing homogeneity, grain size, and κ-phase distribution, while reducing residual stress and promoting low-energy Σ3–60°//[111] boundaries. These microstructural improvements enhance the alloy’s corrosion resistance in a 3.5 wt% NaCl solution by decreasing susceptibility to localized and galvanic corrosion and promoting stable passive film formation. Consequently, the heat-treated NAB-alloy shows superior corrosion performance, offering greater durability over its as-printed state. • NAB alloy was developed using the wire arc additive manufacturing technique. • Heat-treated NAB alloy demonstrated an enhanced microstructure, promoting greater homogeneity. • Corrosion behavior of both the AP-NAB and HT-NAB alloys were evaluated in a 3.5 wt% NaCl solution. • Corrosion resistance of both the AP-NAB and HT-NAB alloys exhibited improvements over time. • HT-NAB alloy displayed superior corrosion performance over its as-printed state.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it