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Record W2589566960

Identification of the mechanical behaviour and damage mechanisms of a Nextel™610/alumina ceramic matrix composite subjected to tensile loading

2015· preprint· en· W2589566960 on OpenAlexaff
C. Ben Ramdane, A. Jankowiak, M. Parlier, E. Martin, Pascal Diss

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2015
Typepreprint
Languageen
FieldMaterials Science
TopicAdvanced ceramic materials synthesis
Canadian institutionsSafran Electronics (Canada)
Fundersnot available
KeywordsMaterials scienceComposite numberUltimate tensile strengthCeramic matrix compositeComposite materialCeramicMatrix (chemical analysis)Alumina ceramicIdentification (biology)Structural engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

(x ± y % = 4 words → counted as 1 , z % = 2 words → counted as 1 → total: < 150 words) The present study was aimed at determining the mechanical behaviour of a weak matrix oxide/oxide CMC subjected to monotonic and cyclic tensile loading in fibre direction and in ±45° fibre orientation and at identifying the damage mechanisms. The material consisted of Nextel™610 fibres (8 HSW) embedded in an alumina matrix, with a fibre volume fraction of 49 % and 24 ± 2 % porosity. The average ultimate tensile stress and strain of the material were, respectively, 260 ± 37 MPa and 0.3 ± 0.09 % in fibre direction and 89 ± 19 MPa and 0.19 ± 0.07 % in ±45° fibre orientation. Interlaminar shear strength, evaluated through 3-point bending tests, was 20 ± 2 MPa. Various techniques were used for microstructural characterization of as-processed material. Two types of pores were differentiated within the material: micropores (13 ± 1 %) and macropores (12 ± 1 %). The latter appear to be the most 2 detrimental for the material, enhancing delamination. The damage mechanisms of the material were assessed through SEM examination and in situ tensile tests.

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 score0.007

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)0.0020.000

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 head0.013
GPT teacher head0.246
Teacher spread0.234 · 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

Citations0
Published2015
Admission routes1
Has abstractyes

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