Estimating Maximum Water Absorption of Wood Fiber/Polymer Fluff Composites
Bibliographic record
Abstract
The objective of this study was to develop a model to estimate the maximum water absorption (MWA) of wood fiberlpolymer Huff composites as a function of polymer Huff content and board density.Polymeric diphenylmethane diisocyanate (PMDI) resin bonded dry-process wood fiberlpolymer Huff composites were used in this study.Six polymer Huff contents (0, 15, 30, 45, 60, and 100%) and four target oven-dry board densities in the range of 0.50-1.00glcm3 were studied.A water immersion test was conducted on these boards.The effect of irreversible thickness swelling after water immersion (TS,) on the estimation of the maximum water absorption was evaluated.It was shown that the irreversible thickness swelling had a quadratic relationship with polymer Huff content and a linear relationship with oven-dry board density.The TS, of the composit~s used in this study was in the range of only 0.04-4.20%,which was negligible in the estimation of maximum water absorption.The prediction of maximum water absorption from the MWA model developed in this study was over 95% accuracy for most of the specimens.The maximum water absorption had a linear relationship with the polymer Huff content and a reciprocal relationship with board density.
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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 | 0.001 | 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 | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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".