Polyurethane Foams Reinforced with Biobased Materials: Properties and Applications
Bibliographic record
Abstract
Background: Today, polyurethane foams can be found in various commercial products such as bedding, home furniture, automotive interiors and even construction materials. From a chemical point of view, polyurethane foams are made from a chemical reaction between a polyol (molecules with more than one hydroxyl group) and a diisocyanate in the presence of a blowing agent. Objective: Because of their highly stable bonds, polyurethane foams are considered as nondegradable leading to some environmental impact. To address this concern different bio-based fillers have been used to create "greener" polyurethane materials. This review presents an overview of different bio-based fillers and containing natural polyols for polyurethane foams formulation with respect to their natural properties, sizes, geometries and contents. Method: A wide range of bio-based fillers derived from wood and non-wood sources are summarized based on their physico-mechanical properties. Then, possible applications are presented and future trends are discussed for the research and development of these complex (multiphase systems) materials (polymer composite foams). Conclusion: Beside traditional polyurethane foams applications including automotive, building, home furniture and package, bio-based filler addition could bring new feature and widen their applications such as shape memory and medication, as well as oil absorbent.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".