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Record W3121055969 · doi:10.1177/1045389x20983921

Effect of shape factor on compression mode dynamic properties of magnetorheological elastomers

2021· article· en· W3121055969 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

VenueJournal of Intelligent Material Systems and Structures · 2021
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsConcordia University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMaterials scienceMagnetorheological fluidLoss factorIsotropyComposite materialCompression (physics)AnisotropyDynamic modulusCompression setModulusElastomerDynamic mechanical analysisMagnetic fieldNatural rubberOpticsPhysics

Abstract

fetched live from OpenAlex

The present study investigates the effects of shape factor (SF) on compression mode properties of cylindrical isotropic and anisotropic MREs. MRE samples with different SFs were fabricated and an experimental set up was designed to measure their magneto-mechanical responses. Extensive experimental characterizations of both kinds of MREs under wide ranges of excitation (strain-rate and amplitude) and applied magnetic field were conducted to realize the effect of SF on their compression mode dynamic properties, and also to identify the coupling effect between SF and loading conditions. Moreover, practical models have been proposed to accurately predict compression elastic and loss moduli of both MREs as a function of SF, strain-rate, amplitude and magnetic flux density. Results revealed maximum SF-stiffening effect of up to 77% and 111% for the compression elastic modulus of the isotropic and anisotropic MREs, respectively, when SF was increased from 0.375 to 0.75. The respective maximum SF effects on the loss factor were obtained as 120% and 49%. Results also generally show nonlinear effects of the SF on both the off- and on-state MRE properties and increasing the SF can enhance the relative MR effect in terms of both the elastic modulus and the loss factor of both MREs.

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 score0.024
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.230
Teacher spread0.221 · 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