Electrochemical behavior of laser powder bed fused nickel aluminum bronze: As-built and tempered alloys
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
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.
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 | 0.001 |
| Open science | 0.001 | 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 it