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A Comparison Study of Fatigue Behavior of Hard and Soft Piezoelectric Single Crystal Macro-Fiber Composites for Vibration Energy Harvesting

Authors :
Mahesh Peddigari
Ga-Yeon Kim
Chan Hee Park
Yuho Min
Jong-Woo Kim
Cheol-Woo Ahn
Jong-Jin Choi
Byung-Dong Hahn
Joon-Hwan Choi
Dong-Soo Park
Jae-Keun Hong
Jong-Taek Yeom
Kwi-Il Park
Dae-Yong Jeong
Woon-Ha Yoon
Jungho Ryu
Geon-Tae Hwang
Source :
Sensors, Vol 19, Iss 9, p 2196 (2019)
Publication Year :
2019
Publisher :
MDPI AG, 2019.

Abstract

Designing a piezoelectric energy harvester (PEH) with high power density and high fatigue resistance is essential for the successful replacement of the currently using batteries in structural health monitoring (SHM) systems. Among the various designs, the PEH comprising of a cantilever structure as a passive layer and piezoelectric single crystal-based fiber composites (SFC) as an active layer showed excellent performance due to its high electromechanical properties and dynamic flexibilities that are suitable for low frequency vibrations. In the present study, an effort was made to investigate the reliable performance of hard and soft SFC based PEHs. The base acceleration of both PEHs is held at 7 m/s2 and the frequency of excitation is tuned to their resonant frequency (fr) and then the output power (Prms) is monitored for 107 fatigue cycles. The effect of fatigue cycles on the output voltage, vibration displacement, dielectric, and ferroelectric properties of PEHs was analyzed. It was noticed that fatigue-induced performance degradation is more prominent in soft SFC-based PEH (SS-PEH) than in hard SFC-based PEH (HS-PEH). The HS-PEH showed a slight degradation in the output power due to a shift in fr, however, no degradation in the maximum power was noticed, in fact, dielectric and ferroelectric properties were improved even after 107 vibration cycles. In this context, the present study provides a pathway to consider the fatigue life of piezoelectric material for the designing of PEH to be used at resonant conditions for long-term operation.

Details

Language :
English
ISSN :
14248220
Volume :
19
Issue :
9
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.0432abcc2dab4641b66fbcd084ff9f36
Document Type :
article
Full Text :
https://doi.org/10.3390/s19092196