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Record W2143036166 · doi:10.1177/1045389x11404454

Temperature-Dependent Response of Radially Polarized Piezoceramic Cylinders to Harmonic Loadings

2011· article· en· W2143036166 on OpenAlexaff
M. H. Babaei, G. Akhras

Bibliographic record

VenueJournal of Intelligent Material Systems and Structures · 2011
Typearticle
Languageen
FieldEngineering
TopicAcoustic Wave Resonator Technologies
Canadian institutionsRoyal Military College of Canada
Fundersnot available
KeywordsMultiphysicsBoundary value problemMaterials scienceCylinderFinite element methodTraction (geology)MechanicsPiezoelectricityRotational symmetryDisplacement (psychology)PhysicsMathematical analysisGeometryComposite materialEngineeringMathematicsMechanical engineeringThermodynamics

Abstract

fetched live from OpenAlex

Modeling the behavior of a radially polarized, hollow piezoelectric cylinder working at different temperature conditions is the topic of this article. The temperature dependence is taken into account through temperature-dependent material properties, pyroelectricity, and thermal dimension changes, simultaneously. The cylinder is electrically excited at its outer surface by a harmonic voltage. Two different structural boundary conditions being clamped-free and traction-free cases are considered. Symmetry of the structure, boundary conditions, and applied harmonic loads lead to an axisymmetric problem which is solved analytically. Temperature dependence of the first resonance frequency, radial stress, and displacement of the cylinder for different structural boundary conditions are then investigated. It was shown that the resonance frequency of the device is almost temperature independent in the traction-free case while it changes in the clamped-free case. The derived equations are verified by other published data and the finite-element software of Comsol Multiphysics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.214
Teacher spread0.200 · 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 source (direct Gemma or distilled Codex), 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

Citations12
Published2011
Admission routes1
Has abstractyes

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Same venueJournal of Intelligent Material Systems and StructuresSame topicAcoustic Wave Resonator TechnologiesFrench-language works237,207