Effect of shape factor on compression mode dynamic properties of magnetorheological elastomers
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.
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.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 it