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Record W6966547049 · doi:10.48336/qk01-w924

Dynamics of planetary gear trains with consideration of moving force effect and ring flexibility

2023· article· en· W6966547049 on OpenAlexaff

Bibliographic record

VenueMemorial University Research Repository (Memorial University) · 2023
Typearticle
Languageen
FieldEngineering
TopicGear and Bearing Dynamics Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsFloquet theoryInstabilityDeflection (physics)VibrationStiffnessTrainParametric statisticsSpectral densityRing (chemistry)

Abstract

fetched live from OpenAlex

This Ph.D. dissertation focuses on the dynamics of planetary gear trains (PGTs). The direct motivation comes from the wind power industry, where PGT size and load become larger and larger, leading to more complicated dynamic behaviour. The time-varying mesh stiffness in a gear system causes parametric resonances. Additionally, the multiple planet arrangement in a PGT makes the stability more complicated. This dissertation first investigates the instability caused by the time-varying stiffness, with a focus on the instability related to the repeated natural frequencies caused by the multiple planets. The research employs the method of multiple scales, enabling the derivation of an analytical formulation to describe the instability zones. The obtained results are validated against numerical results from Floquet theory. Notably, the research enhances the existing formulation for instability zones by presenting a slightly larger region for the unstable zone compared to what has been reported in earlier literature. To ensure the accuracy of the proposed formulation, the obtained results are validated against the numerical results from Floquet theory. With the growing size and load of PGTs, the ring gear in these systems tends to be designed with a relatively thin wall, which leads to significant deflection when subjected to increased loads. In light of this phenomenon, this dissertation focuses on investigating the free vibration behaviour of the ring gear. Initially, the ring gear is simplified as an elastic ring, and then Euler-Bernoulli and Timoshenko theories are applied based on the ring's thickness. The support is modeled with general elastic boundary conditions to mimic a bolt connection. As a result, the natural frequencies and closed-form mode shapes are derived and analyzed. The obtained results are then compared against Finite Element Method (FEM) results to ensure their validity. In a PGT, the meshing force between the ring gear and planet gear is not stationary. Instead, it moves along the circumference of the ring with the angular speed of the carrier, creating a moving load excitation. The dissertation thoroughly investigates the dynamics of the ring gear subjected to this moving meshing load. By leveraging the obtained mode shapes, the partial differential equation of the ring is transformed into ordinary differential equations, which are solved using the Maple package. Furthermore, the effect of the moving force is analyzed in great detail, and the critical speed that causes resonances is obtained and examined. The results are compared against data from the literature and validated against FEM results.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.373
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.015
GPT teacher head0.223
Teacher spread0.207 · 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 designSimulation or modeling
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

Citations0
Published2023
Admission routes1
Has abstractyes

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