Three-dimensional reconstruction of resin flow using capacitance sensor data assimilation during a liquid composite molding process: A numerical study

Masayuki, Murata; Matsuzaki, Ryosuke; Todoroki, Akira; Mizutani, Yoshihiro; Suzuki, Yoshiro

doi:10.1016/j.compositesa.2015.01.031

Cited by 20 publications

(9 citation statements)

References 33 publications

(36 reference statements)

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“…D f and D T have donated the structure fractal dimension of a fractal medium and the tortuosity fractal dimension of a tortuous channel, respectively (1 < D f < 2 and 1 < D T < 2 in the two-dimensional space). Equation (2) implies that all the channels will be taken into account when is equal to min . Figure 4 illustrates that the minimum channel exists among three mutually contacting filaments, and therefore min can be figured out according to equation (5).…”

Section: The New Fractal Modelmentioning

confidence: 99%

“…However, inherent process variability can change the resin flow patterns during mold filling, which in turn may result in the formation of voids, including large dry spots or micro voids. 2 In an LCM process, resin impregnation is highly dependent on the permeability of fibrous reinforcement. As an important material parameter, permeability represents the degree of difficulty for a fluid to penetrate a porous medium.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An experimental and analytical study based on fractal theory of satin fabrics in unsaturated permeability

Wang

Qiang

Zhou

et al. 2016

Journal of Reinforced Plastics and Composites

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Prediction of relative permeability is important to avoid dry spots or micro voids in the liquid composite molding process. Most of previous studies focused on plain and twill, but few are about stain and none of them provide explicit equation to calculate accurate values of unsaturated permeability. The main purpose of this work is to first propose a new model which is proposed mainly based on fractal theory and has no empirical constant in the expression, to calculate the permeability of satin fabric. And then we employ a new experimental method to calculate the unsaturated permeability. Finally, a contrast experiment of 5-harness fabric and 8-harness fabric is designed at different injection pressures, and the accurate values of permeability are obtained. The results show that unsaturated and saturated permeabilities are in the same order of magnitude; furthermore, unsaturated permeability is 77% of saturated permeability in 5-harness fabric and 73% in 8-harness fabric.

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Section: The New Fractal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An experimental and analytical study based on fractal theory of satin fabrics in unsaturated permeability

Wang

Qiang

Zhou

et al. 2016

Journal of Reinforced Plastics and Composites

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“…Data assimilation, which is capable of estimating simulation parameters, has so far been effectively applied to address the problems of estimating the penetration coefficient in the resin impregnation molding of CFRPs [24,25] and estimating the temperature and thermal conductivity during heat curing [26,27,28,29]. In previous studies [27,28], the model parameter that is indirectly estimated from temperature observations is thermal conductivity, a value that is constant.…”

Section: Introductionmentioning

confidence: 99%

Sequential estimation of the generated curing heat of composite materials by data assimilation: A numerical study

Yokoyama

Matsuzaki

Kobara

et al. 2020

Heliyon

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The models and parameters related to the generated curing heat in the molding simulation of composite materials are dependent on the type of resin used and the experimental conditions. Therefore, in this study, we estimated the generated curing heat that changes with time by a data assimilation method, which combines the observation values with simulation values, so that the heat curing simulation of carbon fiber reinforced polymers (CFRPs) becomes closer to the experimental conditions. In the data assimilation method, the temperature distribution on the surface of the composite material was used as an observation value, and the generated curing heat was estimated using an ensemble Kalman filter. By optimizing the data assimilation parameters in advance using the response surface method and estimating the generated curing heat by numerical experiments, the generated curing heat could be estimated with an accuracy represented by the time mean error of less than 6%.

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“…Resin flow monitoring in the case of carbon fibre materials is the main challenge and will be addressed in this paper. The use of parallel plates as electrodes, as presented by Yenilmez et al [14], and the sensors arrays [15,16] cannot be applied in the case of carbon fibre materials since the conductivity of the carbon fibres interrupts the electric field and makes flow sensing extremely challenging. Therefore the out-of-plane flow and the reconstruction of a three-dimensional flow with the use of technologies like that presented by Matsuzaki et al in [16] are not applicable in this study.…”

Section: Introductionmentioning

confidence: 99%

Development of a Flexible Dielectric Sensor for Flow Monitoring of the Liquid Resin Infusion Process

Pouchias

Cunningham

Stein

et al. 2019

Sensors

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The analysis and design of a novel flexible dielectric sensor, which can be integrated into a composite materials manufacturing process to measure the resin frontal flow, is presented in this paper. The proposed sensor consists of two parallel line electrodes and a ground plane covered by a dielectric material. The analytical description and the electrostatic modelling were considered for the design of the sensor and to enhance the understanding of the response of the sensor to the resin impregnation of a carbon fabric during the infusion phase. The optimization of the sensor’s response and the increase of its sensitivity with regards to the geometric characteristics and the materials used were the main objectives of this study. An experimental set-up for the vacuum infusion process which includes the proposed sensor was used to measure the capacitance and validate the derived resin flow against visual measurements. The results indicate that the sensor can provide information on the resin frontal flow within 2% accuracy against visual measurements, which make this technology promising for monitoring the liquid resin infusion processes.

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Three-dimensional reconstruction of resin flow using capacitance sensor data assimilation during a liquid composite molding process: A numerical study

Cited by 20 publications

References 33 publications

An experimental and analytical study based on fractal theory of satin fabrics in unsaturated permeability

An experimental and analytical study based on fractal theory of satin fabrics in unsaturated permeability

Sequential estimation of the generated curing heat of composite materials by data assimilation: A numerical study

Development of a Flexible Dielectric Sensor for Flow Monitoring of the Liquid Resin Infusion Process

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