Characterization of Finite Length Composites: Part II. Mechanical Performance of Injection Moulded Composites
Bibliographic record
Abstract
An overview is given of the mechanical performance (stiffness, strength, toughness, creep ...) of finite fibre length reinforced thermoplastics based on polypropylene and polyamide as the matrices and glass, carbon and Kevlar as the reinforcement. Different degrees of fibre orientation distribution and fibre attrition as produced by classical injection moulding and multiple-live feed moulding were evaluated. It was found that the simple test geometry used (injection moulded plaques) resembled more a complicated structure than a material. The properties measured therefore were more the complex response of a strongly anisotropic structure than simple material properties. Increased alignment of the fibres in a given direction affected all the mechanical properties, but the effect was largest for the tensile stiffness. A higher degree of fibre orientation, was not accompanied by an increase in properties related to failure (ultimate stress, KIc. The modelling of ultimate stress showed that this could be explained by the more severe fibre attrition which resulted from the forces applied to orient the fibres.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.016 |
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".