Parametric Study of Environmental Conditions on The Energy Harvesting Efficiency for The Multifunctional Composite Structures

Wen, Tao; Ratner, Alon; Jia, Yu; Shi, Yu

doi:10.1016/j.compstruct.2020.112979

Cited by 10 publications

(3 citation statements)

References 41 publications

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“…For example, the modulus and strength of the polymer matrix are highly affected by temperature variations, which can further affect the mechanical properties of the lamina and laminate. While the modulus and strength of the matrix can be reduced by elevated temperature, extreme cold conditions can trigger brittle behaviour in some resin systems [ 45 , 46 , 47 , 48 ]. However, the extent of this event highly depends on the type of resin and, more generally, all other materials used in the design of the composite component.…”

Section: Composite Structuresmentioning

confidence: 99%

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Hassani

Mousavi

Gandomi

2021

Sensors

105

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This study presents a comprehensive review of the history of research and development of different damage-detection methods in the realm of composite structures. Different fields of engineering, such as mechanical, architectural, civil, and aerospace engineering, benefit excellent mechanical properties of composite materials. Due to their heterogeneous nature, composite materials can suffer from several complex nonlinear damage modes, including impact damage, delamination, matrix crack, fiber breakage, and voids. Therefore, early damage detection of composite structures can help avoid catastrophic events and tragic consequences, such as airplane crashes, further demanding the development of robust structural health monitoring (SHM) algorithms. This study first reviews different non-destructive damage testing techniques, then investigates vibration-based damage-detection methods along with their respective pros and cons, and concludes with a thorough discussion of a nonlinear hybrid method termed the Vibro-Acoustic Modulation technique. Advanced signal processing, machine learning, and deep learning have been widely employed for solving damage-detection problems of composite structures. Therefore, all of these methods have been fully studied. Considering the wide use of a new generation of smart composites in different applications, a section is dedicated to these materials. At the end of this paper, some final remarks and suggestions for future work are presented.

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Section: Composite Structuresmentioning

confidence: 99%

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Hassani

Mousavi

Gandomi

2021

Sensors

105

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“…This technology provides various smart applications depending on the vibration scale and harvester size, for example, power supply to electric vehicles with magnetic spring suspensions from rough road driving [ 1 ], or active limb prosthetics for walking motion [ 2 ]. A self-sensing harvester, which measures temperature [ 3 ], displacement [ 4 ], and body motions [ 5 ] without the use of specific sensors and batteries, has also been proposed for advanced applications. Transducers for vibration energy harvesting include tuned mass dampers [ 6 , 7 ], magneto-rheological elastomers [ 8 ], electromagnetic devices [ 9 , 10 ], electrets [ 11 , 12 ], magnetostrictive elements [ 13 , 14 , 15 ], and piezoelectric elements [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Adaptive and Robust Operation with Active Fuzzy Harvester under Nonstationary and Random Disturbance Conditions

Hara

Otsuka

Makihara

2021

Sensors

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The objective of this paper is to amplify the output voltage magnitude from a piezoelectric vibration energy harvester under nonstationary and broadband vibration conditions. Improving the transferred energy, which is converted from mechanical energy to electrical energy through a piezoelectric transducer, achieved a high output voltage and effective harvesting. A threshold-based switching strategy is used to improve the total transferred energy with consideration of the signs and amplitudes of the electromechanical conditions of the harvester. A time-invariant threshold cannot accomplish effective harvesting under nonstationary vibration conditions because the assessment criterion for desirable control changes in accordance with the disturbance scale. To solve this problem, we developed a switching strategy for the active harvester, namely, adaptive switching considering vibration suppression-threshold strategy. The strategy adopts a tuning algorithm for the time-varying threshold and implements appropriate intermittent switching without pre-tuning by means of the fuzzy control theory. We evaluated the proposed strategy under three realistic vibration conditions: a frequency sweep, a change in the number of dominant frequencies, and wideband frequency vibration. Experimental comparisons were conducted with existing strategies, which consider only the signs of the harvester electromechanical conditions. The results confirm that the presented strategy achieves a greater output voltage than the existing strategies under all nonstationary vibration conditions. The average amplification rate of output voltage for the proposed strategy is 203% compared with the output voltage by noncontrolled harvesting.

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“…

Vibration, one of the most common physical phenomena, must be detected or eliminated in applications such as automotives, aerospace, and transportation. [1][2][3][4][5][6][7][8] Nevertheless, detecting the device status via vibration often requires attaching individual sensor modules, such as accelerometer-based, resistive, [9][10][11] capacitive, [12,13] and optical [14,15] vibration sensors, to the object or structure. During its working period, the sensor encounters a problem when the bonding interface gradually breaks under harsh environments and continuous vibration.

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mentioning

confidence: 99%

Self‐Powered Smart Vibration Absorber for In Situ Sensing and Energy Harvesting

Xu,

Wang,

Nie

et al. 2024

Advanced Intelligent Systems

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Vibration signals are essential data for the health monitoring of structures and the cyber–physical system. However, commercial vibration sensors are generally installed on struts/surfaces to gather raw data, which affects the result or causes the detachment problem. This study uses a facile 3D printing method to fabricate a smart vibration absorber with an interior multifunctional multimaterial elastic lattice (MMEL). These lattices, which work as vibration absorbers, have been demonstrated to possess the functions of self‐powered sensing and energy harvesting via the triboelectric effect. The triangular geometry parameter, materials type, etc. have been investigated to illustrate their basic mechanical and triboelectric properties and their coupled influence. Further, the results of the shock test show that MMEL can decrease the peak force from approximately 625 to 90 N and convey the Voc impulse signal simultaneously. The vibration signal has been collected through the MMEL to detect the vibration frequency and charge a watch simultaneously, demonstrating the feasibility and practical potential of the MMEL. The research provides a new method for constructing a multifunctional vibration absorber for applications.

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Parametric Study of Environmental Conditions on The Energy Harvesting Efficiency for The Multifunctional Composite Structures

Cited by 10 publications

References 41 publications

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Structural Health Monitoring in Composite Structures: A Comprehensive Review

Adaptive and Robust Operation with Active Fuzzy Harvester under Nonstationary and Random Disturbance Conditions

Self‐Powered Smart Vibration Absorber for In Situ Sensing and Energy Harvesting

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