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Record W4238642087 · doi:10.32920/ryerson.14645859.v1

Fatigue damage assessment of particle-reinforced metal matrix composite materials under uniaxial & multiaxial loading conditions

2021· preprint· en· W4238642087 on OpenAlexafffund
Christopher E Sutton

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicAluminum Alloys Composites Properties
Canadian institutionsToronto Metropolitan University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Waterloo
KeywordsMaterials scienceComposite materialComposite numberUniaxial tensionTorsion (gastropod)Strain energy density functionMetal matrix compositeStructural engineeringUltimate tensile strengthFinite element method

Abstract

fetched live from OpenAlex

The proposed study intended to investigate the fatigue damage of Particle Metal Matrix (PMM) composites under uniaxial and multiaxial loading conditions. Five damage models of SmithWatson-Topper (S.W.T), Ellyin, Brown-Miller, Fatemi-Socie and Varvani were tested for various PMM composite materials for their ability to correlate the uniaxial, torsional and combined tension-torsion damage-life data. Four PMM composite materials of Al6061 I Ah03 I 20p-T6, Al 6061 I Ah03 I 22p-T6, Al 6061 I SiC I 17w-T6 and Ti-6Al-4V I TiC I lOp were evaluated for damage-life based on their strain-life fatigue data. The results of the fatigue damage correlation of uniaxial, torsional and combined tension-torsion fatigue damage versus life for the four PMM composites were investigated in this thesis. The critical plane approaches of Brown-Miller and Fatemi-Socie should almost have the same degree of success in damage assessment of composite materials. These strain based critical plane approaches scaled damage values versus fatigue life data as the lowest range (0.001-0.01) over low-cycle and high-cycle fatigue regimes. While energy based models of S.W.T and Ellyin holding both the stress and strain terms correlated damage data at the highest range (1-1 0) with a relatively larger scatter band for various fatigue lives as compared with other damage approaches. Varvani critical plane-energy approach incorporated the critical plane as the plane of crack initiation and damage growth as well as the strain energy density as a function of stress and strain components acting on the critical plane, which successfully evaluated fatigue damage values within a narrow band. Damage values based on this approach ranged between the highest (S.W.T and Ellyin) and the lowest (Brown-Miller and Fatemi-Socie) ranges and presented an intermediate range of (0.05- 0.1 ). Varvani damage model was further enhanced by means of material dependent terms of a and p to account for the magnitude of difference between Coffin-Manson coefficients for the metallic matrix and PMMC. Terms a and~ enables to estimate fatigue damage ofPMMCs if the strain-life curve for the base metal matrix is known. A finite element unit cell model was also developed to simulate stress-strain responses of Al 6061 I Ah03 I 1 Op-T6 and Al 6061 I Ah03 I 20p-T6 under monotonic tensile loading. The simulated numerical results of stress-strain showed good agreement with the experimental data and prove to be a good tool in the estimation of stress-strain behaviour of PMM composites with various volume fractions.

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 score0.001
Threshold uncertainty score0.002

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)0.0000.000

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 head0.040
GPT teacher head0.310
Teacher spread0.270 · 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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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