Effect of shape factor on compression mode dynamic properties of magnetorheological elastomers
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".