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Record W1992311600 · doi:10.1177/0954406214543490

Dynamic and quasi-static modeling of planetary gear set considering carrier misalignment error and varying line of action along tooth width

2014· article· en· W1992311600 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

VenueProceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · 2014
Typearticle
Languageen
FieldEngineering
TopicGear and Bearing Dynamics Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsStiffnessPlanetPosition (finance)DiscretizationLine (geometry)Structural engineeringControl theory (sociology)Computer scienceMechanicsPhysicsEngineeringMathematicsMathematical analysisGeometry

Abstract

fetched live from OpenAlex

Misalignment error of gear pair will affect the load distribution along the tooth-width and have a great effect on dynamic characteristics. For the planetary gear set, it is complicated to model the misalignment error of carrier as, when this error is present, the planets and the carrier are tilted and contacts between sun–planet and ring–planet along tooth width are skewed. In this paper, a new lumped parameter model is set up to quasi-statically and dynamic analyze the planetary gear set with the position-dependent line of action due to the misalignment of the carrier. In the analytical model, each potential line of contact on the gear mesh is discretized into finite independent time-varying stiffness. External and internal gear stiffness is obtained through the potential energy method. The dynamic responses, load distribution along the tooth width, load sharing between planets, trajectories of sun gear are simulated and analyzed with carrier misalignment error in planetary gear set.

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)0.002
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.211
Threshold uncertainty score0.682

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.017
GPT teacher head0.232
Teacher spread0.214 · 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