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Record W1972990522 · doi:10.1088/0964-1726/23/7/074014

Energy harvesting from a vortex ring impinging on an annular ionic polymer metal composite

2014· article· en· W1972990522 on OpenAlexaff
JiaCheng Hu, Youngsu Cha, Maurizio Porfiri, Sean D. Peterson

Bibliographic record

VenueSmart Materials and Structures · 2014
Typearticle
Languageen
FieldEngineering
TopicDielectric materials and actuators
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsVortex ringVortexAnnulus (botany)Ring (chemistry)Materials scienceComposite numberComposite materialRADIUSIonic bondingMechanicsPhysicsChemistry

Abstract

fetched live from OpenAlex

The energy exchange between a vortex ring and an annular ionic polymer metal composite (IPMC) plate is explored during impact. The vortex ring axis of symmetry is aligned with the geometric center of the annulus, and the ring radius is slightly larger than the hole in the structure. Experimental results show that as the vortex ring approaches the IPMC, the plate initially deflects towards the approaching ring. Upon impact, the plate is pushed away from the impacting vortex ring, while a secondary vortex ring is formed at the edge of the hole, which subsequently propagates away from the IPMC. The mechanical strain of the plate during the impact results in a current through the IPMC, which is measured in order to estimate the energy harvesting capacity of this configuration. This preliminary study suggests that of the initial vortex ring energy can be transduced into electrical energy. An analytical model is developed to assess the energy harvesting capacity as a function of the vortex ring circulation. The model is in good agreement with experimental results, and shows a direct proportionality between the vortex ring circulation and the energy generated by the IPMC.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.004
GPT teacher head0.184
Teacher spread0.180 · 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 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

Citations17
Published2014
Admission routes1
Has abstractyes

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