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Record W4200608160 · doi:10.1166/sam.2021.4069

Noise Characteristics of Tungsten Circular Blade During Sawing of Medium Density Fiberboard

2021· article· en· W4200608160 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueScience of Advanced Materials · 2021
Typearticle
Languageen
FieldEngineering
TopicMaterial Properties and Processing
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedium density fiberboardMaterials scienceNoise (video)DirectivityAcousticsCircular sawComposite materialStructural engineeringElectrical engineeringEngineeringBlade (archaeology)Computer sciencePhysicsAntenna (radio)

Abstract

fetched live from OpenAlex

This work deals with the noise generated from sawing processes of medium density fiberboard, where special attention was given to the changes in sawing noise at different cutting conditions when using circular saws with varied radial slots. The experimental results gave the following insights: The noise level in idling is positively related to the spindle speed. According to the noise power spectra, whistling noise is found during sawing processes, which is mainly caused by self-excited vibration of saw, and it had directivity. Furthermore, the radial slots have a different positive contribution to the noise reduction during idling, but has limited effect on the noise in cutting. In order to reduce the noise pollution induced by sawing, it was proposed to use circular saws with radial slots and copper plugged in its bottom for sawing of medium density fiberboard, in respect to low noise level and avoiding whistling noise.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.007
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.205
Teacher spread0.199 · 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