Electrochemical behavior of laser powder bed fused nickel aluminum bronze: As-built and tempered alloys
Bibliographic record
Abstract
Nickel-aluminum bronze (NAB), as an attractive material for the marine industry in corrosive environments, was considered for additive manufacturing (AM) through the laser powder bed fusion (LPBF) technique. A fully martensitic microstructure was developed from the LPBF process due to high cooling rates inherent in the process. In addition, different heat treatment procedures applied on the samples. These two sets of samples possessed different k -phases in the microstructure with various morphologies along with martensitic packs and laths boundaries. The fully martensitic structure of the alloy in as-built and heat treated conditions were considered for electrochemical testing. The results showed a superior corrosion resistance for the alloy in the as-built condition, accrediting to the development of a protective passive surface film and supersaturated structure of alloying elements on the sample. In addition, the tempering precipitation procedure increased the alloy’s corrosion rate due to the accelerated boundary/interface corrosion effect. • The as-built NAB alloy displayed the highest resistance to corrosion due to its super-saturated martensitic structure. • The annealing process increases the number of defects in the passive film after exposing to corrosive solution. • Different corrosion behaviors for HT-1 and HT-2 samples exhibited in progress of martensitic tempering by annealing temperature and time. • For long-term corrosion tests, the corrosion rate reduces at higher times for all three states of processing. • Copper and aluminum have a significant role in formation of protective film which leads to improving the corrosion resistance.
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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 | 0.000 |
| 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 | 0.001 | 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".