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Record W4406580116 · doi:10.1002/adem.202402143

Degradation Behavior and Mechanical Properties of Porous Biodegradable FeMnC Alloys Produced by Powder Metallurgy for Biomedical Applications

2025· article· en· W4406580116 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAdvanced Engineering Materials · 2025
Typearticle
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaPublic Risk Management Association
KeywordsMaterials sciencePowder metallurgyPorosityDegradation (telecommunications)MetallurgyMicrostructureComposite materialEngineering

Abstract

fetched live from OpenAlex

The advent of biodegradable implants represents a landmark orientation in the biomedical field toward a new generation of medical devices, offering improved patient outcomes, and eliminating the need for subsequent surgeries. FeMn alloys are well‐established as promising candidates for such applications. This study analyzes the microstructure, mechanical properties, and degradation behavior of FeMnC alloys produced via pressing and sintering process using water‐atomized FeMnC powder. To investigate the impact of pore size and volume fraction on the mechanical properties and degradation rates, two groups of FeMnC samples were prepared, one compacted at 600 MPa (CP 600) and the other at 700 MPa (CP 700). In addition, pure Fe samples compacted at 600 MPa and prepared using the same methodology were used as a reference. Chemical analysis carried out on both the pre‐alloyed powder and the resulting sintered samples (CP 600 and CP 700) revealed a significant reduction in the amount of Mn, O, and notably C after sintering. The pure Fe group showed the greatest mechanical strength with an average tensile rupture strength of 446 ± 24 MPa. Among the three groups, CP 600 exhibited the highest degradation rate (−0.339 ± 0.057 mmpy) after 14 days of static immersion degradation test in modified Hanks' solution, demonstrating a degradation behavior characterized by mass gain.

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 score0.049
Threshold uncertainty score0.898

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 head0.009
GPT teacher head0.211
Teacher spread0.202 · 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