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Record W70765910

Characteristics of sugar maple wood surfaces produced by helical planing

2006· article· en· W70765910 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWood and Fiber Science (Society of Wood Science and Technology) · 2006
Typearticle
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWettingMaterials scienceSurface roughnessMapleSurface finishComposite materialSugarChemistryBotany
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.188
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it