Itauba Wood Fiber (<i>Mezilaurus lindaviana</i>) and Itauba Wooden Board: A Survey on the Physical, Chemical, Thermal, and Mechanical Properties
Bibliographic record
Abstract
High Resolution Image Download MS PowerPoint Slide The aim of this research is to evaluate the physical, chemical, thermal, and mechanical properties of Itauba ( Mezilaurus itauba ) wood fiber and Itauba wooden board. The chemical composition presented 33, 29, and 10% lignin, cellulose, and hemicellulose, respectively. The thermal stability was found to be 250 °C for both atmospheres (air and nitrogen), and the simulated TG curve was similar to the one performed on a nitrogen atmosphere. Cone calorimetric results showed a higher steady state when compared to other wood fibers found in the literature with peak heat release rates of 281.762, 424.029, and 482.335 kW/m 2 when exposed to constant levels of radiant heat flux of 25, 50, and 75 kW/m 2 at similar weights and densities. Furthermore, X-ray diffraction (13.5% crystallinity) and mechanical tests (flexural and tensile Young’s modulus of 12010 and 969.9 MPa, respectively) were performed on the Itauba wooden board. The tensile results showed to be higher than propylene composites reinforced with 40% wood fiber found in the literature while the storage modulus obtained in the dynamic mechanical thermal analysis found to be higher (11.5 GPa at −130 °C) than most of the commercial thermoplastics used in the industry (polypropylene (9 × 10 2 MPa), high-density polyethylene (2 × 10 3 MPa), and polyvinyl chloride (3000 MPa)). This study showed the potential in using Itauba wooden boards in replacing many commercial products, mainly when an adequate mechanical performance is required.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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".