MétaCan
Menu
Back to cohort

Degradation behavior of austenite, ferrite, and martensite present in biodegradable Fe-based alloys in three protein-rich pseudo-physiological solutions

2024· article· en· W4400689176 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBioactive Materials · 2024
Typearticle
Languageen
FieldMaterials Science
TopicMagnesium Alloys: Properties and Applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsMaterials scienceAusteniteMetallurgyDegradation (telecommunications)MartensiteFerrite (magnet)Composite materialMicrostructureComputer science

Abstract

fetched live from OpenAlex

This study investigates the degradation behavior of three distinct Fe-based alloys immersed in three pseudo-physiological solutions. These alloys, which have varied Mn and C contents, include a commercially available Fe-0.15C alloy, namely Fe–C, and two newly developed alloys, that is Fe–5Mn-0.2C (namely Fe–5Mn) and Fe–18Mn-0.6C (namely Fe–18Mn). The aim was to understand the effect of alloying elements and the testing solution on the in - vitro degradation behavior of these Fe-based materials. Static immersion degradation and potentiodynamic corrosion tests were carried out using three pseudo-physiological solutions with albumin supply, that is modified Hanks’ saline solution (MHSS), phosphate buffered saline solution (PBS), and sodium chloride solution (NaCl). After two weeks of static immersion, the results revealed that Fe–5Mn, characterized by a mixture of ferrite and martensite, showed the highest degradation rate, while Fe–C, composed solely of ferrite, showed the lowest rate of degradation. The predominant degradation products in MHSS and PBS were phosphates and carbonates. In PBS, these products formed a remarkably stable protective layer on the surface, contributing to the lowest degradation rate. In contrast, porous hydroxides appeared as the main degradation products for samples immersed in NaCl solution, leading to the highest degradation rate. These results provided important insights into the customization of Fe–Mn–C alloys for a range of biomedical applications, meeting a variety of clinical requirements, and highlighting the considerable potential of Fe–Mn–C alloys for biomedical applications. • Fe–5Mn-0.2C showed the presence of ferrite and martensite, showing a duplex microstructure. • The static Fe–5Mn-0.2C corrosion rate was ∼0.19 mm/y in Hanks' solution and ∼0.28 mm/y in NaCl one. • Ferrite (AISI 1018) and austenite (Fe–18Mn-0.7C) showed similar static degradation rates. • Degradation products showed the presence of phosphates and carbonates, in the form of loose precipitates. • Crystallized Ca 2 P 2 O 7 was found on degraded surfaces of Fe–18Mn-0.7C immersed in Hanks' solution.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.083
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.054
GPT teacher head0.268
Teacher spread0.214 · 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