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Record W2123561578 · doi:10.1109/icma.2007.4303602

Characterization of Rate Dependent Hysteresis of Piezoceramic Actuators

2007· article· en· W2123561578 on OpenAlexaff
Mohammad Al Janaideh, S. Rakheja, Chun‐Yi Su

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicPiezoelectric Actuators and Control
Canadian institutionsConcordia University
Fundersnot available
KeywordsHysteresisActuatorControl theory (sociology)Operator (biology)Function (biology)Prandtl numberRange (aeronautics)Characterization (materials science)Probability density functionMaterials scienceBiological systemPhysicsComputer scienceMathematicsMechanicsCondensed matter physicsChemistryControl (management)Artificial intelligenceNanotechnology

Abstract

fetched live from OpenAlex

A generalized Prandtl-Ishlinskii model is proposed for characterizing the rate dependent hysteresis behavior of piezoceramic actuator. Rate dependent play operator is formulated and integrated to the Prandtl-Ishlinskii model together with dynamic density function to model hysteresis as a function of rate of change of the input. The fundamental properties of the proposed rate dependent operators are discussed. Laboratory experiments were performed to characterize the rate dependent hysteresis behavior of a piezoceramic actuator under excitation in the 0.1 to 200 Hz frequency range. The measured data were used to demonstrate validity of the proposed generalized model. The comparisons suggest that the proposed rate dependent operator and density functions allow for accurate characterization of the rate dependent hysteresis of piezoceramic actuator under dynamically varying inputs.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.307

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 head0.004
GPT teacher head0.180
Teacher spread0.177 · 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

Citations8
Published2007
Admission routes1
Has abstractyes

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