Unambiguous Determination of 3D Fiber Orientation Distribution in                 Thermoplastic Composites Using SAM Image of Elliptical Mark and Interference Fringe

Kawamura, Munehiro; Ikeda, Satoshi; Morita, Satoru; Sanomura, Yukio

doi:10.1177/0021998305046463

Cited by 9 publications

(8 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The CNT projection on the plane (polished surface) can be an ellipse or a circular disk depending on the CNT inclination below the surface (Kawamura et al, 2005). The two angles θ and φ, which define the 3D orientation of each CNT (Hine and Duckett, 2004), can be obtained by measuring the elliptical parameters that are the center of the ellipse (xc,yc), the major (2a) and minor (2b) axes, and the in-plane angle (φ), all shown in Figure 1B.…”

Section: Determination Of the Probability Distribution Functions Of Cmentioning

confidence: 99%

See 1 more Smart Citation

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

2016

View full text Add to dashboard Cite

The focus of this study is to investigate the capabilities of three dimensional (3D) RVE models in predicting the tensile modulus of carbon nanotube/polypropylene (CNT/PP) composites, which differ slightly in the dispersion, agglomeration, and orientation states of CNT within the PP matrix. The composites are made using melt mixing followed by either injection molding or melt spinning of fibers. The dispersion, agglomeration, and orientation of CNT within the PP are experimentally altered by using a surfactant and by forcing the molten material to flow through a narrow orifice (melt spinning) that promotes alignment of CNT along the flow/drawing direction. An elaborate image analysis technique is used to quantify the CNT characteristics in terms of probability distribution functions (PDF). The PDF are then introduced to the 3D RVE models that also account for the CNT-PP interfacial interactions. It is concluded that the 3D RVE models can accurately distinguish among the different cases (dispersion, distribution, geometry, and alignment of CNT) as the predicted tensile modulus is in good agreement with the experimentally determined one.

show abstract

Section: Determination Of the Probability Distribution Functions Of Cmentioning

confidence: 99%

“…If the etch mark is located at the opposite side with respect to the measured in-plane angle then no correction is required. A correction of φ = φ + π is applied when the etch mark is in the same side with the measured in-plane angle (Kawamura et al, 2005;Velez-Garcia et al, 2012).…”

Section: Determination Of the Probability Distribution Functions Of Cmentioning

confidence: 99%

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

2016

View full text Add to dashboard Cite

show abstract

“…Orientation of the chip is estimated based on the shape of the individual fibers: fiber aligned in the 0 direction exhibit a pseudo-circular section geometry, while fibers at 90 degrees appear as straight parallel bands (or are infinite ellipsoids, Figure 6). The degree of deviation from circular to elliptic geometry is a good indication of fiber orientation [14,15]. For small fiber angles, less than 20 degrees, it becomes very difficult to uniquely determine the effective orientation.…”

Section: Assessment Of Random Distributionmentioning

confidence: 99%

Characterization of Prepreg-Based Discontinuous Carbon Fiber/Epoxy Systems

Feraboli

Peitso

Deleo

et al. 2008

Journal of Reinforced Plastics and Composites

152

138

View full text Add to dashboard Cite

This paper quantifies the elastic behavior and failure response of discontinuous carbon fiber/ epoxy laminates produced by compression molding of randomly oriented preimpregnated unidirectional tape. Flat plates have been successfully molded using manually prepared prepreg charges, and showed a satisfactory degree of randomization. Complex relationships between reinforcement aspect ratio and tensile, compressive, and flexural moduli and strengths are observed. For this particular material system, failure is a matrix-dominated event, with little or no fiber breakage, and it promotes relatively high variation in the measured properties. The high-volume carbon fiber content, combined with an aerospace-qualified epoxy resin, opens up opportunities for more aircraft parts to be made of composite materials, particularly for stiffness-critical components where discontinuous fibers offer performance similar to the continuous quasi-isotropic value.

show abstract

“…Researchers have explored various methods for FOD measurements. Kawamura et al 18 utilized scanning acoustic microscopy to capture interference fringes and unambiguously characterize the 3D fiber orientation. Irradiation methods used for FOD measurements include contact micro-radiography 19,20 and micro-CT imaging.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites

Sharma

Naragani

Nguyen

et al. 2017

Journal of Composite Materials

View full text Add to dashboard Cite

We present a detailed methodology for experimental measurement of fiber orientation distribution in injection-molded discontinuous fiber composites using the method of ellipses on two-dimensional cross sections. Best practices to avoid biases occurring during surface preparation and optical imaging of carbon-fiber-reinforced thermoplastics are discussed. A marker-based watershed transform routine for efficient image segmentation and the separation of touching fiber ellipses is developed. The sensitivity of the averaged orientation tensor to the image sample size is studied for the case of long-fiber thermoplastics. A Mori–Tanaka implementation of the Eshelby model is then employed to quantify the sensitivity of elastic stiffness predictions to biases in the fiber orientation distribution measurements.

show abstract

Unambiguous Determination of 3D Fiber Orientation Distribution in Thermoplastic Composites Using SAM Image of Elliptical Mark and Interference Fringe

Cited by 9 publications

References 21 publications

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

3D RVE Models Able to Capture and Quantify the Dispersion, Agglomeration, and Orientation State of CNT in CNT/PP Nanocomposites

Characterization of Prepreg-Based Discontinuous Carbon Fiber/Epoxy Systems

Uncertainty quantification of fiber orientation distribution measurements for long-fiber-reinforced thermoplastic composites

Contact Info

Product

Resources

About