MétaCan
Menu
Back to cohort
Record W4415678418 · doi:10.1016/j.ymssp.2025.113555

Transducer configurations for enhanced power density in cylindrical electromagnetic vibration energy harvesters

2025· article· en· W4415678418 on OpenAlex
David Alexander Ells, Chris K. Mechefske, Yongjun Lai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMechanical Systems and Signal Processing · 2025
Typearticle
Languageen
FieldEngineering
TopicInnovative Energy Harvesting Technologies
Canadian institutionsQueen's University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTransducerMagnetic flux leakageElectromagnetic coilMagnetVibrationMagnetic fluxMagnetic fieldPower densityMagnetic circuit

Abstract

fetched live from OpenAlex

• A systematic comparison of cylindrical electromagnetic VEH transducers is presented. • A novel fully enclosed back iron design is proposed to concentrate the magnetic flux. • Simulations show the novel transducer improves magnetic flux density by 74 percent. • The magnetic flux leakage is reduced by over 99 percent for the novel transducer. • Tests show a max power of 44.50 mW and 4.25m W/cm 3 power density in 1 g vibrations. Vibration energy harvesters (VEHs) convert the mechanical energy of vibrations into electrical energy and can power wireless sensor networks. However, there are challenges to overcome in the development of practical VEHs that include maximizing the converted energy and energy density. This work presents a systematic comparison of cylindrical electromagnetic VEH transducers and a novel transducer configuration to address these challenges. An enclosure and spring system was designed, and a basic single cylindrical magnet transducer was established as a baseline. Multiple transducers were developed to investigate the use of opposing magnets and back irons to concentrate the magnetic flux. A novel transducer was introduced that incorporates a fully enclosed back iron. The transducers were simulated, fabricated, and tested experimentally. Simulations showed that the novel transducer enhanced the magnetic flux density by 74 percent from 0.23 T to 0.40 T over the coil and reduced the magnetic flux leakage by over 99 percent from 0.15 T to 3.6 × 10 −5 T below the transducer. These results show that the novel transducer effectively channels the magnetic flux over the coil and nearly eliminates magnetic flux leakage. Experimental tests in vibrations of 60 Hz and 1 g RMS demonstrated a maximum power generation of 44.50 mW and a power density of 4.25 mW/cm 3 for the novel design, representing an improvement in power density of 103 percent over the basic transducer. This study demonstrates that opposing magnets and back irons can be used to enhance the power density of electromagnetic VEH transducers and improve the overall practicality of VEHs.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.813
Threshold uncertainty score0.568

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 head0.223
Teacher spread0.214 · 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