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Record W1545758060

Redesign of hand-held impact machines to reduce hand-arm vibration

2011· article· en· W1545758060 on OpenAlexvenueno aff
Hans Lindell

Bibliographic record

VenueCanadian acoustics · 2011
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsnot available
FundersAFA Försäkring
KeywordsVibrationVibration isolationWork (physics)EngineeringNoise (video)Mechanical vibrationStructural engineeringMechanical engineeringAutomotive engineeringComputer scienceAcousticsPhysics
DOInot available

Abstract

fetched live from OpenAlex

A project included redesign the tools to achieve low vibration, improved ergonomics, dust removal, and reduced noise while maintaining productivity, improving work environment. The first part of the project was a survey of vibration exposure to workers in the stone industry. The results from the survey showed that three work operations contributed to more than 90% of the vibration exposure. The second part of the project, the redesign of the tools was carried out using three approaches such as analytical calculation, multi-body simulation, and experimental study. Care has been taken to reduce friction in the system and the damping coefficient is estimated to be below 2 % of critical damping. Vibration isolation between the suspended mass and the housing is applied in the axial, radial and rotational directions in order to handle the vibrations that still remain after the tuned absorber.

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.

How this classification was reachedexpand

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.662
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.043
GPT teacher head0.321
Teacher spread0.278 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2011
Admission routes1
Has abstractyes

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