Tactile imaging and distributed strain sensing in highly flexible carbon nanofiber/polyurethane nanocomposites

Tallman, Tyler N.; Güngör, Sıla; Wang, K.W.; Bakis, Charles E.

doi:10.1016/j.carbon.2015.08.029

Cited by 76 publications

(61 citation statements)

References 38 publications

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“…This consists of a conductive film with a given specific conductivity, which completely covers the monitored surface and has electrical contacts located along the perimeter [9][10][11][12][13][14][15][16][17][18]. In case the material of the test object has a high conductivity (for example, metal or metal alloy), a sensor film is applied to the dielectric layer present on the monitored surface [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…When the tensile strength limit of the sensor film, which is determined by its thickness, material, and method of deposition is achieved, cracks will appear in it, which are approximately the same in shape, size, and location as the cracks in the monitoring object. Registration and monitoring of cracks in the sensor film can be performed using the method of electrical impedance tomography (EIT) [9][10][11][12][13][14][15][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…The remaining (measuring) contacts are used for the voltages measurement. The implementation of the EIT consists of obtaining a large number of measurements for various combinations of current contacts and performing for each measurement, the iterative procedures of numerical solutions of the forward and inverse EIT problems [9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

“…The F(σ) is defined as a result of linearization performed by a Taylor series expansion on the initial specific conductivity σ (0) according to expressions (7)-(9) [9]:…”

Section: Introductionmentioning

confidence: 99%

“…The matrix ∆σ is defined by the Tikhonov regularization procedure because J is severely rank-deficient. The specific conductivity distribution is updated iteratively according to expression (10) until the error is sufficiently minimized [9]:…”

Section: Introductionmentioning

confidence: 99%

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Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography

Ryndin

Коноплев

Kulikova³

2018

Electronics

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Abstract:In this paper, we propose a method of distributed sensory systems designing for monitoring of surface cracks in highly loaded constructions based on electrical impedance tomography. A thin conductive film with contacts on the perimeter applied on the monitored surface is used as a crack sensor. Registration and monitoring of surface cracks using the developed modified method of electrical impedance tomography (EIT) are carried out. The proposed method differs from the traditional EIT method as it has considerably lower computational complexity with sufficient resolving power. This makes it possible to use the proposed EIT method for continuous rapid monitoring of surface cracks during the operation of a controlled construction in real-time mode. The main stages of the proposed modified EIT method, a block diagram of the crack image reconstruction algorithm and a method for processing the crack images, which provide the possibility for adjusting the sensitivity of the monitoring system, are considered. The main modules of the monitoring system software are described. Analysis of the imitative modeling results of the cracks registering processes as a function of size, shape, and the arrangement of cracks, the number of boundary contacts of the distributed sensor, the step of the grid, and the parameters of a digital filter are considered. Comparative analysis of the developed and standard EIT methods for surface cracks monitoring in constructive elements was performed.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…The F(σ) is defined as a result of linearization performed by a Taylor series expansion on the initial specific conductivity σ (0) according to expressions (7)-(9) [9]:…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography

Ryndin

Коноплев

Kulikova³

2018

Electronics

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Tuning Mechanical and Electrical Properties of Elastomer Composites with Hybrid Filler Network Containing Graphene for Stretchable Strain Sensors

Sang

Chen

et al. 2021

Adv Eng Mater

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Conductive elastomer composites (CECs) with segregated filler networks display a combination of good mechanical properties and electrical conductivity, enabling potential applications in flexible and stretchable electronics. However, it is challenging to achieve high strain sensitivity and to retain good elasticity. Here, hybrid fillers of carbon nanostructures (CNS, also known as branched carbon nanotubes) and graphene are used to achieve high strain sensitivity of thermoplastic polyurethane (TPU)‐based CECs without decreasing elasticity and electrical conductivity. By changing the graphene type, namely, single layer graphene nanosheet (GNS) and graphene nanoplatelets (GNP), mechanical properties and strain–sensing performances of the CECs can be modulated effectively at proper hybrid filler compositions. Due to the effect of graphene morphology, the TPU/CNS–GNP system has higher strain sensitivity by comparison with the TPU/CNS–GNS system. These CECs demonstrate potential applications as flexible/wearable electronics in body joint bending and flexible switches and resistors for current regulation.

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High conductivity electrospun carbon/graphene composite nanofiber yarns

Yan

Pan

2017

Polymer Engineering & Sci

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Polyacrylonitrile/graphene (PAN/GP) composite nanofiber filaments were spun continuously by a homemade eightneedle electrospinning device with an auxiliary electrode, and then, yarns were obtained by plying and successive twisting. Subsequently, the composite yarns were stabilized at 250-2808C for 1-2 h and then carbonized at 800-11008C for 1-3 h. The diameter of yarns significantly decreased by over 60% after carbonization and the structure became more compact. The optimum stabilization conditions were at 2708C with holding for 1.5 h. The addition of GP at a low mass fraction (<1%) promoted the formation of ladder-like structures and ordered graphitic structures during stabilization and carbonization. It seems there were defects in the pristine CNF, and the addition of GP reduced the defects. The conductivity of the composite CNF yarn sharply increased with the increase of GP content to 1%, and then decreased. The maximum value was 66.44 6 13.16 S/cm at 11008C held for 3 h. The mechanical properties for composite CNF yarns were performed. The maximum stress and modulus were 59.49 MPa and 14.63 GPa, respectively. POLYM. ENG. SCI., 58:903-912,

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Tactile imaging and distributed strain sensing in highly flexible carbon nanofiber/polyurethane nanocomposites

Cited by 76 publications

References 38 publications

Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography

Distributed Sensory System of Surface Cracks Monitoring Based on Electrical Impedance Tomography

Tuning Mechanical and Electrical Properties of Elastomer Composites with Hybrid Filler Network Containing Graphene for Stretchable Strain Sensors

High conductivity electrospun carbon/graphene composite nanofiber yarns

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