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Record W2012157990 · doi:10.1109/icems.2009.5382789

Losses in an optimized 8-pole radial AMB for Long Term Flywheel Energy Storage

2009· article· en· W2012157990 on OpenAlex

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

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMagnetic Bearings and Levitation Dynamics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFlywheelControl theory (sociology)Magnetic bearingRotor (electric)Energy storageFinite element methodConstant (computer programming)Power (physics)Bearing (navigation)MechanicsTime constantTorquePhysicsComputer scienceEngineeringStructural engineeringAutomotive engineeringMechanical engineeringElectrical engineering

Abstract

fetched live from OpenAlex

In this paper, we will study the effect of losses (non including losses in the power electronic) of an optimized eight pole radial AMB on the discharge time of a no-load Long Term Flywheel Energy Storage (LTFES). Load capacity is the main parameter of an Active Magnetic Bearings (AMB) design. This parameter has to take into account the external disturbance force which may be constant, synchronous with the rotor angular velocity or completely general. To relatively simplify this study, we restricted the effect of external disturbance to a constant unbalance force only. The latter plays a high part on the size of bearing system. Before optimizing the AMB design, we have built and validated an Excel theoretical model with 2-D Finite Element Method (FEM). Several optimizations have been made in order to seek the minimum of both copper and iron losses we could obtain for a given load capacity. Then, evolution of losses functions of angular velocity speed of rotor has been drawn. Flywheel discharge time has been computed to pass from 9000 rpm to 4500 rpm and evolution of this time versus mass of AMB has been shown for different values of unbalance forces.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.423

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 head0.009
GPT teacher head0.227
Teacher spread0.218 · 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

Quick stats

Citations16
Published2009
Admission routes1
Has abstractyes

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