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Cited by 1,049

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Toward energy harvesting using active materials and conversion improvement by nonlinear processing

Guyomar, D., Badel, A., Lefeuvre, E., Richard, C.·2005·IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control

Abstract

This paper presents a new technique of electrical energy generation using mechanically excited piezoelectric materials and a nonlinear process. This technique, called synchronized switch harvesting (SSH), is derived from the synchronized switch damping (SSD), which is a nonlinear technique previously developed to address the problem of vibration damping on mechanical structures. This technique results in a significant increase of the electromechanical conversion capability of piezoelectric materials. Comparatively with standard technique, the electrical harvested power may be increased above 900%. The performance of the nonlinear processing is demonstrated on structures excited at their resonance frequency as well as out of resonance.

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Metadata

Authors
Guyomar, D., Badel, A., Lefeuvre, E., & Richard, C.
Venue
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control
Published
2005-04
Volume
52
Issue
4
Pages
584-595
ISSN
0885-3010 (ISSN-L)
OpenAlex
W2122137446
Cited by
1,049
References
8
FWCI
61.97
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Toward energy harvesting using active materials and conversion improvement by nonlinear processing. https://app.cochat.ai/papers/10.1109/tuffc.2005.1428041
The paper
Guyomar, D., Badel, A., Lefeuvre, E., & Richard, C. (2005). Toward energy harvesting using active materials and conversion improvement by nonlinear processing. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. https://doi.org/10.1109/tuffc.2005.1428041

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.