Evaluation of mechanical properties of noncircular carbon fiber reinforced plastics by using XFEM-based computational micromechanics

Higuchi, Ryo; Yokozeki, Tomohiro; Nagashima, Toshio; Aoki, Takahira

doi:10.1016/j.compositesa.2019.105556

Cited by 25 publications

(6 citation statements)

References 34 publications

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“…It is important to note that this work has examined only the longitudinal (fiber direction) properties. This is partly because other works have examined transverse properties in detail of other irregularly shaped fiber cross-sections [10][11][12]. Additionally, similar types of behavior (in terms of stress concentration) under more complex stress states would be expected, including laminates made of these materials.…”

Section: Resultsmentioning

confidence: 97%

“…Computational tools have been shown to be very useful in this, such as the use of periodic representative volume elements to study the effect of fiber shape [10]. Additionally, researchers have shown that the extended finite element method can be useful in computing the transverse homogenized elastic constants [11]. The realm of virtual material design has enabled the computational analysis of highly complex fiber cross-sections [12].…”

Section: Introductionmentioning

confidence: 99%

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Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

Hanhan

Sangid

2021

J. Compos. Sci.

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Recent advancements have led to new polyacrylonitrile carbon fiber precursors which reduce production costs, yet lead to bean-shaped cross-sections. While these bean-shaped fibers have comparable stiffness and ultimate strength values to typical carbon fibers, their unique morphology results in varying in-plane orientations and different microstructural stress distributions under loading, which are not well understood and can limit failure strength under complex loading scenarios. Therefore, this work used finite element simulations to compare longitudinal stress distributions in A42 (bean-shaped) and T650 (circular) carbon fiber composite microstructures. Specifically, a microscopy image of an A42/P6300 microstructure was processed to instantiate a 3D model, while a Monte Carlo approach (which accounts for size and in-plane orientation distributions) was used to create statistically equivalent A42/P6300 and T650/P6300 microstructures. First, the results showed that the measured in-plane orientations of the A42 carbon fibers for the analyzed specimen had an orderly distribution with peaks at |ϕ|=0∘,180∘. Additionally, the results showed that under 1.5% elongation, the A42/P6300 microstructure reached simulated failure at approximately 2108 MPa, while the T650/P6300 microstructure did not reach failure. A single fiber model showed that this was due to the curvature of A42 fibers which was 3.18 μm−1 higher at the inner corner, yielding a matrix stress that was 7 MPa higher compared to the T650/P6300 microstructure. Overall, this analysis is valuable to engineers designing new components using lower cost carbon fiber composites, based on the micromechanical stress distributions and unique packing abilities resulting from the A42 fiber morphologies.

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Section: Resultsmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

Hanhan

Sangid

2021

J. Compos. Sci.

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“…Furthermore, the material properties of the entire material, including the interlaminar toughened layers, were calculated based on the rule of mixture. Material properties used in the analysis are described in Tables 1-2 [4,7,8]. The total curing stress was calculated by adding the stress generated in each step.…”

Section: Methodsmentioning

confidence: 99%

In-Situ Strain Monitoring in Deltoid of Composite T-joints using Optical Fiber

Hisada

Minakuchi

Takeda

2021

Materials Research Proceedings

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Abstract. Composite T-joints have a critical problem that cracks occur in the deltoid during curing because of the cure stress and thermal stress. There are few studies on the behavior of T-joints during curing, and what is actually occurring in the deltoid is not well understood. In the present study, optical fiber was embedded in the deltoid using a new technique to clarify the internal state of the deltoid during curing. The embedded optical fiber successfully measured the process-induced strain distribution in the deltoid. Based on the experimental results and finite element analysis, a failure index for a process-induced failure of deltoid was discussed. An energy-based failure index could precisely predict the process-induced failure.

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“…5,6 However, numerous studies have found that the fibers are distributed at random. 7,8,9,10 Many efficient methods for achieving the random fiber distributions of the RVEs that correspond to the crosssections of unidirectional FRC have been developed by researchers. Buryachenko et al 11 elaborated the background notions and definitions of the random fiber distributions, and provide a method for obtaining the fiber centroid coordinates of using a random distribution method based on a digital image processing technology.…”

Section: Introductionmentioning

confidence: 99%

Efficient generation of random fiber distributions in fiber reinforced composites

Kou

Feng

Zhang

et al. 2023

Journal of Reinforced Plastics and Composites

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This paper proposes a new algorithm to generate representative volume elements (RVEs) with random fiber distribution in fiber reinforced composites (FRC). The proposed algorithm is straightforward and easy to implement based on judging the maximum and minimum distances between a new fiber and existing fibers. The generation results demonstrate that the maximum fiber volume fraction gradually increases and oscillates violently before reaching 78.54% as the fiber radius rises. Moreover, with the increase of RVE size, the maximum fiber volume fraction changes gently when the fiber radius does not exceed 6.5 μm, but it changes dramatically at other fiber radii. Then, the fiber distributions of the generated RVEs are evaluated using the nearest neighbor distance, Ripley’s K function, and pair distribution function. The evaluation results indicate that the fiber distributions present randomness. Lastly, the effective elastic properties of the Carbon/Epoxy unidirectional FRC are predicted using the RVEs generated by the proposed algorithm, the RVEs generated by regularization, and the Mori–Tanaka method. It is found that the prediction using the RVEs generated by the proposed algorithm is more accurate than the regularization, compared with the Mori–Tanaka and experiment results. The proposed algorithm contributes to microstructure modeling in computational micromechanics.

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Evaluation of mechanical properties of noncircular carbon fiber reinforced plastics by using XFEM-based computational micromechanics

Cited by 25 publications

References 34 publications

Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

Design of Low Cost Carbon Fiber Composites via Examining the Micromechanical Stress Distributions in A42 Bean-Shaped versus T650 Circular Fibers

In-Situ Strain Monitoring in Deltoid of Composite T-joints using Optical Fiber

Efficient generation of random fiber distributions in fiber reinforced composites

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