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Record W2801505407 · doi:10.1139/tcsme-2013-0050

EVALUATION OF ANALYTICAL AND FINITE ELEMENT MODELING ON PIEZOELECTRIC CANTILEVER BIMORPH ENERGY HARVESTER

2013· article· en· W2801505407 on OpenAlexvenueno aff
Long Zhang, Keith A. Williams, Zhengchao Xie

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2013
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsBimorphFinite element methodCantileverPiezoelectricityEnergy harvestingElectric potential energyEnergy (signal processing)Mechanical engineeringPower (physics)EngineeringAcousticsStructural engineeringElectrical engineeringPhysics

Abstract

fetched live from OpenAlex

Harvesting the electrical energy from their working environment has become a feasible choice of realizing self-powered systems or providing supplementary power sources to the battery. In this paper, a pre-loaded piezoelectric cantilever bimorph (PCB) energy harvester is adopted as the research object, for which a single degree-of-freedom analytical model and finite element modeling have been carried out to study its dynamic responses. The laboratory experiments have also been performed to validate the analytical and the finite element modeling. It shows that finite element modeling has a better agreement with the experimental results than the analytical model, while the latter has a rough accuracy and can be used to obtain quick estimations of the dynamic response of the PCB energy harvester in certain cases.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.907
Threshold uncertainty score0.791

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 head0.027
GPT teacher head0.219
Teacher spread0.191 · 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

Citations6
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueTransactions of the Canadian Society for Mechanical EngineeringSame topicInnovative Energy Harvesting TechnologiesFrench-language works237,207