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Record W4413513533 · doi:10.47611/jsrhs.v13i3.7709

Nonlinear Dynamics of Magnetic Gears Using Two Fidget Spinners

2024· article· en· W4413513533 on OpenAlexaff
Ethan Hyo Jeon

Bibliographic record

VenueJournal of Student Research · 2024
Typearticle
Languageen
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNonlinear systemPhysicsCondensed matter physicsQuantum mechanics

Abstract

fetched live from OpenAlex

Magnetic gears, massive in scale or largely simplified, exhibit highly nonlinear and chaotic behaviour. We investigate the underlying phenomenon of rotation of fidget spinners with Neodymium (Nd) magnets placed at their ends through a theoretical and experimental lens. A simplified model is proposed, combining both the mechanics (i.e. nonlinear vibration of rotary mass-spring-damper system) and electromagnetics (i.e. Bio-Savart law and Larentz force) of such gears. We derive a governing equation using Newton’s law and basic electromagnetic theories, solve it numerically via simulation, and explore rotation angle dissipation. Key parameters are then compared and matched across theory and experiment. This research has been motivated by one of the problems proposed for IYPT (International Young Physicists’ Tournament) 2024.

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 score0.290
Threshold uncertainty score0.342

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 integrity0.0000.001
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 head0.076
GPT teacher head0.411
Teacher spread0.335 · 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
Published2024
Admission routes1
Has abstractyes

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