Experimental study of electrostatic charging related to prevention of fire and dust explosions in wood processing facilities
Bibliographic record
Abstract
To address the concern of fire and dust explosions in wood processing facilities, the charging behavior on wood dust particles and air hoses during the air-blow cleaning operation were investigated. The effective work function, unit weight and surface roughness were key parameters influencing the charge accumulation on air hoses. The use of compressed air with lower velocity and higher moisture content could reduce the charge generation on airborne wood particles. Particle size, shape and wood species affect the charging behavior of wood dust. Conductive surface and moisture could help charges to be dissipated fast from wood dust particles. • Charge generation on wood dust depends on air velocity, humidity, and contact material. • Some species of wood dust tend to generate more charge than the others. • Charge on dry wood dust decays very slowly on all tested surfaces. • Moisture and grounding could speed up the charge decay. • The effective work function, unit weight and surface roughness affect charge accumulation on air hoses.
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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 | 0.001 |
| 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) | 0.002 | 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 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".