Product development using vegetable fibers
Bibliographic record
Abstract
This article is a comprehensive review on the mechanical and tribological behavior of four plant fi bers (hemp, kenaf, coconut and broom) and the products design made based on these plant fi bers.The treatments and the chemical and physical characteristics of these types of plant fi bers are investigated to understand the applications in design fi eld.The application of plant fi bers are subject to many scientifi c and research projects, as well as many commercial projects.Data around these fi bers are being collected and analyzed to arrange them and add new value for future applications.In most studies, natural fi bers are used as replacement of traditional fi bers in fi ber-reinforced composites, or in automotive sector, geo textiles and other engineering fi elds.The research carried on is been organized so that mechanical and chemical-physical characteristics of these plant fi bers can be used in conjunction with previous studies, to give a new scenario for design applications.In general, natural fi bers have the advantages of biodegradability, low density, abundance and renewability, non-toxic nature, useful mechanical properties, and low cost.However, the main disadvantages of natural fi bers are (i) the poor compatibility between fi ber and matrix in composites and (ii) the relative high moisture sorption.In addition, the project will improve opportunities for sustainable goods through the development of design, strategies of ecological sustainable products.Paper will outline a possible development of a product, which will be feasible gratefully to the direct application of the results and tests of the tools and methods made through out of the research.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".