Characteristics of sugar maple wood surfaces produced by helical planing
Bibliographic record
Abstract
In real helical planing, the knives form a continuous oblique cutting edge with an angle to the cutterhead rotation axis. Tool manufacturers affirm that the helical cutterheads produce superior quality surfaces. However, literature on the effect of this cutting geometry on the surface quality of planed wood is scarce. The surface quality of helical-planed sugar maple was evaluated as a function of two planing modes, four feed speeds, and three cutting depths. The helical planing across the grain produced surfaces with higher roughness and improved wetting properties. A slight torn grain was observed in some samples that were helical-planed obliquely to the grain. As feed speed increased, surfaces became rougher and wetting was accelerated. Increasing cutting depth reduced surface roughness, mainly when planing across the grain. Cross-grain helical planing appears to have a good potential to reduce dependence on sanding to improve surface adhesion properties and enhance performance of coatings.
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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 | 0.000 |
| 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) | 0.001 | 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".