Biopolymer flax (Linum Usitatissimum L.) and its prospects in biodegradable composite fabrication- a short review
Bibliographic record
Abstract
Linum Usitatissimum L. is mostly known as flax usually cultivated to consume the fibre demand for apparel and edible oil production. However, recent development and research work has made the diversification of flax polymers to be a part of a growing trend to fabricate biodegradable composites. Although, flax is traditionally grown for its natural plant oil seeds, but it also carries the prospects to be applied in bio-composites either in form of reinforcements or as polymer matrix. Since flax is a biodegradable polymer, the use of flax in composite reinforcement can introduce the concept of green composite that may contribute in lowering the carbon footprint around the globe. The inherent composite characteristics of flax fiber provide outstanding mechanical properties. Further, the technology for producing bio-based resin from flax oil for industrial application has added additional value offering significant opportunities for new and improved materials from renewable resources. This review intends to discuss few of the key points that summarize the promising features of flax in fabricating biodegradable composites. VARTM is one of the significant manufacturing methods of flax reinforced composites using non-woven flax mat where flax mat is usually formed by web formation method through air or wet lying technique. Flax fibre properties, effect of manufacturing parameters like needle punch density, mat areal density and consolidation pressure while manufacturing composites plays an important role on the strength and modulus of flax reinforced composites.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".