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Record W2323922203 · doi:10.1177/1464420715583709

Influence of homogenization treatment on the degradation behavior of Zn–3 Mg alloy in simulated body fluid solution

2015· article· en· W2323922203 on OpenAlexaff
M.S. Dambatta, Denni Kurniawan, Izman Sudin, Bashir Yahaya, Hendra Hermawan

Bibliographic record

VenueProceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and Applications · 2015
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsHomogenization (climate)AlloyMicrostructureMaterials scienceEutectic systemSimulated body fluidDegradation (telecommunications)MetallurgyComposite materialScanning electron microscope

Abstract

fetched live from OpenAlex

This paper reports a degradation study of Zn–(3 wt%) Mg alloy proposed for biodegradable medical implants. The alloy was cast from high-purity raw materials and homogenized at 370 ℃ for 15 h under vacuum and water quenched. The effect of homogenization on microstructure and degradation behavior in simulated body fluid was investigated. Results showed that homogenization transformed the star-like dendritic Zn-rich shape into a network of precipitate phase along eutectic colony and dispersed Mg 2 Zn 11 phase. The homogenized alloy showed higher degradation resistance compared to the as-cast alloy, pure Zn, and pure Mg samples. The relationship between microstructure and degradation behavior discussed further in this paper.

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)0.000
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 score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.034
GPT teacher head0.244
Teacher spread0.210 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

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Same venueProceedings of the Institution of Mechanical Engineers Part L Journal of Materials Design and ApplicationsSame topicMagnesium Alloys: Properties and ApplicationsFrench-language works237,207