Computation of the linear viscoelastic relaxation spectrum from capillary viscosity data
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Bibliographic record
Abstract
A simple method is presented for the estimation of the linear viscoelastic relaxation spectrum from capillary viscosity data. For that purpose, a modified Leonov model is employed and the spectra and model parameters are estimated through nonlinear regression using measured steady shear viscosity data and extensional viscosity data calculated from Cogswell's method. Using the proposed methodology, the spectra of several resins were estimated and they were used in a Maxwell model to predict the linear viscoelastic properties of these resins. The predicted properties (storage and loss moduli and complex viscosity) were found to be in very good agreement with data from oscillatory shear measurements, thus supporting the validity of the estimated relaxation spectra. © 2000 John Wiley & Sons, Inc. Adv Polym Techn 19: 277–286, 2000
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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) | 0.000 | 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) | 0.000 | 0.000 |
Machine scores (provisional)
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Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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