Real time monitoring of the curing degree and the manufacturing process of fiber reinforced composites with a carbon nanotube buckypaper sensor

Lu, Shaowei; Zhao, Chenxu; Zhang, Lu; Chen, Duo; Chen, Dandan; Wang, Xiaoqiang; Ma, Keming

doi:10.1039/c8ra03445a

Cited by 26 publications

(9 citation statements)

References 26 publications

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“…Since individual CNTs and single-layer graphene are very difficult to handle, the vast majority of publications dealing with the science and engineering of carbon nanomaterials have used some form of multi-layer graphene films, entangled arrays, bundles, or buckypapers, either free-standing, deposited over a thicker substrate or as an integral part of a multi-layered material. [63,66,[68][69][70][71][72][73][74] The mechanisms governing thermoresistivity in these entangled materials may differ significantly from those of individual CNTs or graphene. This is because in these arrays electrical charge flow occurs through a network, and not only within individual carbon nanostructures.…”

Section: Thermoresistivity Of Carbon Nanotube and Multilayer Graphene...mentioning

confidence: 99%

Thermoresistivity of Carbon Nanostructures and their Polymeric Nanocomposites

Avilés

2023

Adv Materials Inter

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Carbon nanostructures such as carbon nanotubes, graphene, and its multi‐layer derivatives exhiibit temperature‐dependent electrical conductivity. They can form percolated networks inside polymers, which render electrical conductivity to nanocomposites. Upon the formation of a percolated network, thermal energy applied to the material drives structural changes of the network, which manifest as changes in electrical conductivity. This principle is used to develop smart materials with self‐sensing temperature capabilities. This critical review covers past and present research on the electrical response to temperature (thermoresistivity) of carbon nanostructures and their polymeric nanocomposites. It covers few‐ and multi‐layer graphene, carbon nanotubes, carbon‐nanostructured arrays and fibers (yarns). The mechanisms driving the thermoresistive response of individual nanostructures, their arrays, and of their polymeric nanocomposites are addressed. The role of the nanostructured filler on the thermoresistivity of polymer nanocomposites depends on its morphology and concentration. For low filler concentrations, thermal expansion of the polymer may dominate over the inherent thermoresistivity of the filler. For high filler concentrations, or for densely packed arrays of carbon nanostructures, the inherent (quantum) thermoresistive response of the nanostructures becomes dominant. The review addresses recent progress in the field, highlights current issues, synthesizes published data, and provides outlooks and insights into future directions.

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Section: Thermoresistivity Of Carbon Nanotube and Multilayer Graphene...mentioning

confidence: 99%

Thermoresistivity of Carbon Nanostructures and their Polymeric Nanocomposites

Avilés

2023

Adv Materials Inter

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“…The experimental results show that the resistance temperature coefficient of the bucky paper is related to the curing behavior of the resin, and a critical value of the resistance temperature coefficient is determined. In addition, by monitoring and optimizing the curing parameters, the properties of the composites can indeed be improved [8]. Although these theories have analyzed the optimization calculation and carbon nanotube structure to a certain extent, the combination of the two is insufficient and not practical.…”

Section: Related Workmentioning

confidence: 99%

Structure Optimization of Carbon Nanotubes Based on Swarm Intelligence Algorithm and Evolutionary Computation

Liu

2022

Journal of Nanomaterials

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Swarm intelligence algorithm is an emerging evolutionary computing technology, which has become the focus of more and more researchers. It has a very special connection with artificial life, especially evolutionary strategies and genetic algorithms. The swarm intelligence algorithms you see include genetic algorithm, particle swarm optimization algorithm, and ant colony algorithm. This part of the content has been supplemented in the article. Evolutionary computing is a group-oriented random search technology and method produced by simulating the evolutionary process of organisms in nature. Evolutionary computing is based on natural selection strategy: survival of the fittest, elimination of the unfit, and individuals with large fitness values have a higher survival probability than individuals with small fitness values. The purpose of this paper is to study the structure optimization of carbon nanotubes based on swarm intelligence algorithm and evolutionary computation. It is expected to optimize the structure of carbon nanotube materials with the help of intelligent evolution algorithm, so that it can be used in more fields. In this paper, the preparation process and principle of carbon nanotube-based gas sensors are studied, and the preparation process of the side-heated gas sensor is selected. This paper focuses on the strain sensing performance of carbon nanotubes, analyzes various parameters that characterize the sensing performance, and proposes feasible technical routes for improvement, optimization and improvement. The experimental results in this paper show that when different proportions of oxides are added, the tensile strength of carbon nanotube materials is increased by about 8%, and the elastic modulus is increased by up to 40%. After adding CNFs, the tensile strength increased by up to 18%, and the elastic modulus increased by up to 50%.

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“…CNT films have shown promise for monitoring the processing of composite materials. Lu et al placed buckypaper made through the VFD method in the middle layer of unidirectional glass fiber composites and investigated the relationship between the resistance change of the buckypaper and resin curing [201][202][203]. Figure 23(a) shows a schematic of the experimental system [204].…”

Section: Composite Processing Monitoringmentioning

confidence: 99%

Carbon nanotube film based multifunctional composite materials: an overview

Dai

Zhang

et al. 2020

Funct. Compos. Struct.

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Carbon nanotube (CNT) films are well known for their ultra-low density, high porosity, tunable conductivity and a number of other desirable characteristics. Integrating CNT films into composite materials would endow these structural materials with multifunctionality while adding only negligibly to their weight. This review introduces the fabrication of CNT films and presents the state-of-the-art research advances of CNT-film-enabled functions of composite materials, such as resistive heating, lightning strike protection, electromagnetic interference shielding, and structural health monitoring. Future research on CNT-film-based multifunctional composite materials is also discussed.

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Real time monitoring of the curing degree and the manufacturing process of fiber reinforced composites with a carbon nanotube buckypaper sensor

Cited by 26 publications

References 26 publications

Thermoresistivity of Carbon Nanostructures and their Polymeric Nanocomposites

Thermoresistivity of Carbon Nanostructures and their Polymeric Nanocomposites

Structure Optimization of Carbon Nanotubes Based on Swarm Intelligence Algorithm and Evolutionary Computation

Carbon nanotube film based multifunctional composite materials: an overview

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