Ultrafast response of spray-on nanocomposite piezoresistive sensors to broadband ultrasound

Liao, Yaozhong; Duan, Feng; Zhang, Hongti; Lü, Yang; Zeng, Zhihui; Liu, Menglong; Xu, Hao; Gao, Chang; Zhou, Li; Jin, Hao; Zhang, Zhong; Su, Zhongqing

doi:10.1016/j.carbon.2018.11.074

Cited by 33 publications

(27 citation statements)

References 39 publications

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“…Up to this point, the PVDF sensor at the optimal threshold is responsive to the dynamic disturbance. By virtue of its superior flexibility and great ease of handling, the strain of the PVDF sensor is induced by ultrasound (Liao et al, 2019). Therefore, the mechanical energy is transformed into electrical energy that appears in the form of voltage.…”

Section: Resultsmentioning

confidence: 99%

Influence of sweeping frequency ultrasonic pretreatment on pulsed vacuum drying characteristics and microstructure of okra based on real‐time monitoring

Zhang

Gao

et al. 2020

J Food Process Engineering

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Sweeping frequency ultrasonic (SFU) pretreatment was utilized to promote pulsed vacuum drying (PVD) process of okra. Drying characteristics and microstructure of okra were studied. Then mechanism of SFU pretreatment was revealed by acoustic signal monitoring technologies in time and frequency domains and bubble oscillations. Results showed that core temperature (57–58°C) of PVD, rehydration ratio (3.16%), hardness (23.90 N) and, fracturability (3.15 mm) were the highest, while moisture ratio was the smallest in SFU pretreated okra group at 30 min during the ultrasonic pretreatment process. It was related to changes of microstructure. SFU pretreated okra cells got folded, intercellular space was large, and the tunnel structure was generated until 30 min. However, excessive ultrasound caused the structural collapse of cells; the tunnel structure was congested, which was not beneficial to moisture transfer during PVD process. Effects of SFU pretreatment were further explained by monitored data of acoustic signals in time and frequency domains. The maximum voltage amplitude (40.6 mV) and space peak temporal peak acoustic intensity (2.76 × 106 W/m2) were the highest at 30 min during the pretreatment process. The corresponding SFU signals had a wide frequency domain and fluctuation range of energy, and cavitation effects of ultrasonic bubbles was facilitated. Practical applications PVD is an innovative drying technology. However, okra structure is complex, which is against moisture transfer during the process of drying. Hence, SFU pretreatment was added before drying. The tunnel structure of okra generated by the pretreatment could support moisture transfer suggesting a rapid rate of drying. The best quality of dried okra was obtained at 30 min during the pretreatment process, which makes for long storage and preparation of functional snacks. Acoustic signals were analyzed by real‐time monitoring technique during pretreatment of okra, and the cavitation intensity of SFU fields was revealed. Thus, the fundamental basis for accurate ultrasonic processing is provided.

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Section: Resultsmentioning

confidence: 99%

Influence of sweeping frequency ultrasonic pretreatment on pulsed vacuum drying characteristics and microstructure of okra based on real‐time monitoring

Zhang

Gao

et al. 2020

J Food Process Engineering

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“…According to this, we can simply assume that no fracture occurs in the copper interconnects before and after expanded, which is essential for the long-term stability of the GW sensor network. In addition, the low resistance changes suggest that the network is also suitable for other sensors that rely on the change in resistance for sensing, such as piezoresistive sensor, 42 resistive temperature detectors, and humidity sensors.…”

Section: Manufacturing and Test Of The Gw Sensor Networkmentioning

confidence: 99%

A stretchable and large-scale guided wave sensor network for aircraft smart skin of structural health monitoring

Wang

Qiu

Luo

et al. 2019

Structural Health Monitoring

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Aircraft smart skin technology requires the integration of large-scale, lightweight, and integrative sensor networks with aircraft structural skin, but it is difficult to directly manufacture such sensor networks in a large-scale, low-cost, reliable, and simple way. To study this issue, a design and manufacturing method of a stretchable and large-scale guided wave sensor network is proposed in this article. The key principle of the method is to design and manufacture the guided wave sensor network in a limited scale and expand it in a large-scale for aircraft smart skin of structural health monitoring. To ensure the excellent stretchability of the network, the design method of a serpentine-based fractal island-interconnect structure combined with the flexible printed circuit manufacturing process is proposed. The whole manufacturing process of the guided wave sensor network is realized by the mature flexible printed circuit process and the piezoelectric transducers (referred to as PZTs) are integrated with the network by reflow soldering which is compatible with the flexible printed circuit process, which greatly reduce manufacturing costs, simplify manufacturing process, and improve the yield and stability of the network. The guided wave sensor network can be uniaxially stretched to 500% of its original size and work well when fully expanded to cover 2500% of its original area. The test results of guided wave response show that the PZTs on the network can excite and receive guided wave signal normally. In addition, the network is placed on the surface of a carbon fiber composite laminate with stiffeners and the validation results show that the network can be applied to both active and passive guided wave–based structural health monitoring of composite structures, including damage imaging and impact imaging.

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“…PVP is chosen as the matrix in this study to develop the nanocomposite hybrid for the spray-on nanocomposite sensor, as PVP is a kind of water-soluble polymer that can easily form and further stabilize the dispersion of nanocomposites in the solvent without adding extra surfactant because of its amphiphilic groups (hydrophobic methylene group and hydrophilic amide group) [35]. In the authors’ previous study [36,37], a variety of nanofillers such as carbon black (CB), carbon nanotubes (CNTs), and graphene were investigated and proven as promising candidates for developing nanocomposite sensors that can be used for acquiring GUW signals. By virtue of the higher demand for signal quality in active SHM, two-dimensional (2-D) graphene nanoparticles are selected in this study as the nanofiller.…”

Section: Spray-on Sensor Fabrication and Characterizationmentioning

confidence: 99%

A Spray-on, Nanocomposite-Based Sensor Network for in-Situ Active Structural Health Monitoring

Cao

Zhou

Liao

et al. 2019

Sensors

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A new breed of nanocomposite-based spray-on sensor is developed for in-situ active structural health monitoring (SHM). The novel nanocomposite sensor is rigorously designed with graphene as the nanofiller and polyvinylpyrrolidone (PVP) as the matrix, fabricated using a simple spray deposition process. Electrical analysis, as well as morphological characterization of the spray-on sensor, was conducted to investigate percolation characteristic, in which the optimal threshold (~0.91%) of the graphene/PVP sensor was determined. Owing to the uniform and stable conductive network formed by well-dispersed graphene nanosheets in the PVP matrix, the tailor-made spray-on sensor exhibited excellent piezoresistive performance. By virtue of the tunneling effect of the conductive network, the sensor was proven to be capable of perceiving signals of guided ultrasonic waves (GUWs) with ultrahigh frequency up to 500 kHz. Lightweight and flexible, the spray-on nanocomposite sensor demonstrated superior sensitivity, high fidelity, and high signal-to-noise ratio under dynamic strain with ultralow magnitude (of the order of micro-strain) that is comparable with commercial lead zirconate titanate (PZT) wafers. The sensors were further networked to perform damage characterization, and the results indicate significant application potential of the spray-on nanocomposite-based sensor for in-situ active GUW-based SHM.

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Ultrafast response of spray-on nanocomposite piezoresistive sensors to broadband ultrasound

Cited by 33 publications

References 39 publications

Influence of sweeping frequency ultrasonic pretreatment on pulsed vacuum drying characteristics and microstructure of okra based on real‐time monitoring

Influence of sweeping frequency ultrasonic pretreatment on pulsed vacuum drying characteristics and microstructure of okra based on real‐time monitoring

A stretchable and large-scale guided wave sensor network for aircraft smart skin of structural health monitoring

A Spray-on, Nanocomposite-Based Sensor Network for in-Situ Active Structural Health Monitoring

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