Transient multiphase model for the high‐temperature thermal treatment of wood
Bibliographic record
Abstract
Abstract The hygrothermal behavior of wood at high temperature is analyzed, taking into account all the phases present such as wood, liquid water in free and bound forms, and water vapor. The moisture transport phenomenon includes water vapor convection and diffusion along with capillary water convection in the pores of the particle as well as bound water diffusion in the solid wood. Local thermodynamic equilibrium is assumed, which is represented by a sorption isotherm that relates the moisture contents in the solid and gas phases. The equations of the model were solved numerically using the commercial software Femlab® for the temperature and the moisture content profiles. The mathematical model predictions were compared with the experimental data and a reasonably good agreement was obtained. A parametric study was also carried out to determine the effects of several parameters such as heating rate, initial moisture content, and the sample thickness on the temperature and moisture content distributions within the samples during heat treatment. © 2006 American Institute of Chemical Engineers AIChE J, 2006
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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 | 0.000 | 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".