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Impact of fabrication method on the corrosion behavior of heat-treated nickel aluminum bronze (NAB) alloy: A comparison of laser powder bed fusion (L-PBF) and laser directed energy deposition (L-DED) techniques

2024· article· en· W4405869048 on OpenAlexaff
Khashayar Morshed-Behbahani, Addison J. Rayner, D.P. Bishop, Ali Nasiri

Bibliographic record

VenueColloids and Surfaces A Physicochemical and Engineering Aspects · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMetallurgy and Material Science
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMaterials scienceAlloyFabricationMetallurgyLaserBronzeCorrosionFusionDeposition (geology)NickelAluminiumOptics

Abstract

fetched live from OpenAlex

The corrosion response of heat-treated C63020-NAB alloys fabricated through laser-powder bed fusion (L-PBF) and laser-directed energy deposition (L-DED) techniques was assessed in NaCl solution on surfaces parallel and perpendicular to their building direction. Microstructural analyses revealed a stronger texture formed in the L-PBF NAB, while the L-DED NAB exhibited a slightly more isotropic behavior characterized by a finer microstructure and more equiaxed grains on both surfaces. Corrosion performance analysis indicated isotropic corrosion behavior in both L-DED and L-PBF NAB, though the L-DED NAB showed marginally better corrosion resistance. The microstructural characteristics were identified as the primary factor driving the passivity and corrosion resistance of the alloy.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.263
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2024
Admission routes1
Has abstractyes

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