Predicting the Elastic Modulus of Hybrid Fibre Reinforced Thermoplastics
Why this work is in the frame
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Bibliographic record
Abstract
Hybrid fibre reinforced thermoplastics (containing more than one type of fibre) offer several design possibilities that do not exist with single fibre reinforced systems. Although there are extensive experimental data available in the literature on a variety of hybrid systems, a reliable and simple analytical model to predict the stiffness of these composites is not available. In this study, a modification of the hybrid rule of mixtures equation is developed to determine the stiffness properties of hybrid composites. Experimental data from single fibre reinforced thermoplastics forms the basis of the modification. Combinations of E-glass, hemp and hardwood flour were blended into high-density polyethylene in total fibre loadings of 10 to 60wt% to produce hybrid composites. The density and Young's modulus of the hybrid composites fell between the extreme values obtained for the single fibre composites. The modified rule of hybrid mixtures equation was found to adequately predict the tensile modulus of the hybrid composites.
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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)
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