Network Optimization of CNT Yarn Sensor Based on NNIA Algorithm in Damage Monitoring of 3D Braided Composites

Jia, Miaomiao; Wan, Zhifeng; Pei, Xiaoyuan; Guo, Jin; Bao, Weichen; Liying, Gong; Liu, Yan; Zhao, Jun

doi:10.3390/ma15238534

Cited by 3 publications

(4 citation statements)

References 28 publications

(26 reference statements)

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“…In the 3D six-direction braided composites, the spatial orientation of the yarn was structured as shown in Figure 2 . Weft yarn will not bend during weaving, so in order to reduce the signal data error caused by CNT yarn bending, CNT yarn was embedded in the pre-form of braid composites as weft yarn during braiding, so that CNT yarn was “linear” inside of the braided composites [ 45 ]. Global monitoring of internal damage in braided composites was achieved by designing the number and location of embedded CNT yarns.…”

Section: Methodsmentioning

confidence: 99%

Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm

Wang

Jia

et al. 2023

Sensors

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This study aims to enable intelligent structural health monitoring of internal damage in aerospace structural components, providing a crucial means of assuring safety and reliability in the aerospace field. To address the limitations and assumptions of traditional monitoring methods, carbon nanotube (CNT) yarn sensors are used as key elements. These sensors are woven with carbon fiber yarns using a three-dimensional six-way braiding process and cured with resin composites. To optimize the sensor configuration, an artificial fish swarm algorithm (AFSA) is introduced, simulating the foraging behavior of fish to determine the best position and number of CNT yarn sensors. Experimental simulations are conducted on 3D braided composites of varying sizes, including penetration hole damage, line damage, and folded wire-mounted damage, to analyze the changes in the resistance data of carbon nanosensors within the damaged material. The results demonstrate that the optimized configuration of CNT yarn sensors based on AFSA is suitable for damage monitoring in 3D woven composites. The experimental positioning errors range from 0.224 to 0.510 mm, with all error values being less than 1 mm, thus achieving minimum sensor coverage for a maximum area. This result not only effectively reduces the cost of the monitoring system, but also improves the accuracy and reliability of the monitoring process.

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Section: Methodsmentioning

confidence: 99%

Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm

Wang

Jia

et al. 2023

Sensors

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“…a) Based on the expert scoring method and the feature vector method [26], the weight vector between the criteria layers is obtained as , and the specific method is the same as the weight vector between the indicators within the specified criteria layers.…”

Section: Index Weight Vector Equation Methods Based On Entropymentioning

confidence: 99%

Construction of an Intelligent Evaluation Model of Yield Risk Based on Empirical Probability Distribution

Yanru,

Jing

2023

IJACSA

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In order to improve the accuracy of yield risk evaluation, an intelligent evaluation model of yield risk based on empirical probability distribution is constructed. The dimensionality reduction method of risk factor based on principal component analysis is adopted. After adjusting the multiple data dimensions of risk factors that affect the rate of return to a unified dimension, the cluster-based evaluation index screening method is used to build the evaluation index set that best reflects the risk of the rate of return; The index weight vector equation method based on entropy weight and information entropy is used to set the evaluation index weight. Through the comprehensive evaluation model based on the empirical probability distribution of risk indicators, the empirical probability distribution information of risk indicators at all levels is analyzed, and the risk level of yield is intelligently evaluated. The research structure shows that the model can effectively evaluate the level of return risk and provide an effective reference for preventing and controlling investment return risk.

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“…The sum of the equivalent nodal heat flux of all sub-cells is the equivalent nodal heat flux {F c }, as Equation (11) shows:…”

Section: Ctc Of 3d Braided Compositesmentioning

confidence: 99%

“…In order to make full use of the advantages of 3D braided composites, it was important to clarify the mechanical behaviors of composites in different environments. Many researchers [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ] have focused their efforts on the complex geometries and mechanical properties of 3D braided composites at room temperature. The influence of temperature on the thermal properties of fiber-reinforced composites has so far been a concern of some researchers.…”

Section: Introductionmentioning

confidence: 99%

Theoretical Analysis of Thermophysical Properties of 3D Carbon/Epoxy Braided Composites with Varying Temperature

Jiang,

Li,

Wang

et al. 2024

Polymers

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A three-dimensional helix geometry unit cell is established to simulate the complex spatial configuration of 3D braided composites. Initially, different types of yarn factors, such as yarn path, cross-sectional shape, properties, and braid direction, are explained. Then, the multiphase finite element method is used to develop a new theoretical calculation procedure based on the unit cell for predicting the impacts of environmental temperature on the thermophysical properties of 3D four-direction carbon/epoxy braided composites. The changing rule and distribution characteristics of the thermophysical properties for 3D four-direction carbon/epoxy braided composites are obtained at temperatures ranging from room temperature to 200 °C. The influences of environmental temperature on the coefficients of thermal expansion (CTE) and the coefficients of thermal conduction (CTC) are evaluated, by which some important conclusions are drawn. A comparison is conducted between theoretical and experimental results, revealing that variations in temperature exert a notable influence on the thermophysical characteristics of 3D four-directional carbon/epoxy braided composites. The theoretical calculation procedure is an effective tool for the mechanical property analysis of composite materials with complex geometries.

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Network Optimization of CNT Yarn Sensor Based on NNIA Algorithm in Damage Monitoring of 3D Braided Composites

Cited by 3 publications

References 28 publications

Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm

Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm

Construction of an Intelligent Evaluation Model of Yield Risk Based on Empirical Probability Distribution

Theoretical Analysis of Thermophysical Properties of 3D Carbon/Epoxy Braided Composites with Varying Temperature

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