Analysis of Mechanical Behavior of a Short Fiber Composite Using Micromechanics Based Model. Effects of Fiber Clustering on Composite Stiffness and Crack Initiation.

Kataoka, Yasuto; Taya, Masahito

doi:10.1299/jsmea.43.46

Cited by 18 publications

(3 citation statements)

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“…Bhattacharryya and Lagoudas (2000) derived a form of the self-consistent model for the effective properties of clustered fiber reinforced composites based on local volume fraction distributions and applied it to bimodal distributions where increases in transverse elastic properties for clustered distributions were found. For aligned short fiber composites, Kataoko and Taya (2000) obtained the effect of clustering on the local stress-strain response, but surprisingly found a decrease in the effective axial stiffness. It should be noted that these previous efforts were more focused on the stress-strain response as opposed to the effective properties, and generally observed the effects of clustering at a single global volume fraction for more traditional composite systems such as carbon fiber reinforced and metal matrix composites.…”

Section: Chapter 4 Effective Properties Of Clustered Carbon Nanotube mentioning

confidence: 99%

Analytic and computational micromechanics of clustering and interphase effects in carbon nanotube composites.

Seidel¹,

Hammerand²,

Lagoudas

2006

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Effective elastic properties for carbon nanotube reinforced composites are obtained through a variety of micromechanics techniques. Using the in-plane elastic properties of graphene, the effective properties of carbon nanotubes are calculated utilizing a composite cylinders micromechanics technique as a first step in a two-step process. These effective properties are then used in the self-consistent and Mori-Tanaka methods to obtain effective elastic properties of composites consisting of aligned single or multi-walled carbon nanotubes embedded in a polymer matrix. Effective composite properties from these averaging methods are compared to a direct composite cylinders approach extended from the work of Hashin and Rosen (1964) and Christensen and Lo (1979). Comparisons with finite element simulations are also performed. The effects of an interphase layer between the nanotubes and the polymer matrix as result of functionalization is also investigated using a multi-layer composite cylinders approach. Finally, the modeling of the clustering of nanotubes into bundles due to interatomic forces is accomplished herein using a tessellation method in conjunction with a multi-phase Mori-Tanaka technique. In addition to aligned nanotube composites, modeling of the effective elastic properties of randomly dispersed nanotubes into a matrix is performed using the Mori-Tanaka method, and comparisons with experimental data are made.Computational micromechanical analysis of high-stiffness hollow fiber nanocomposites is performed using the finite element method. The high-stiffness hollow fibers are modeled either directly as isotropic hollow tubes or equivalent transversely isotropic effective solid cylinders with properties computed using a micromechanics based composite cylinders method. Using a representative volume element for clustered high-stiffness hollow fibers embedded in a compliant matrix with the appropriate periodic boundary conditions, the effective elastic properties are obtained from the finite element results. These effective elastic properties are compared to approximate analytical results found using micromechanics methods. The effects of an interphase layer between the high-stiffness hollow fibers and matrix to simulate imperfect load transfer and/or functionalization of the hollow fibers is also investigated and compared to a multi-layer composite cylinders approach. Finally the combined effects of clustering with fiber-matrix interphase regions are studied. The parametric studies performed herein were motivated by and used properties for single-walled carbon nanotubes embedded in an epoxy matrix, and as such are intended to serve as a guide for continuum level representations of such nanocomposites in a multi-scale modeling approach.

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Section: Chapter 4 Effective Properties Of Clustered Carbon Nanotube mentioning

confidence: 99%

Analytic and computational micromechanics of clustering and interphase effects in carbon nanotube composites.

Seidel¹,

Hammerand²,

Lagoudas

2006

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“…In most of such procedures a randomly-oriented-yet uniform-distribution of fibers is assumed, see for instance [3,4,5]. However, under some practical manufacturing conditions, e.g., poor mixing in injection molding, or high volume fraction of fibers, uniformity of dispersion is lost [6]. Namely, fiber-fiber interactions within the composite may affect the dispersion state, and create non-uniform concentration regions of fibers.…”

Section: Introductionmentioning

confidence: 99%

“…Four cases of moderate fiber volume fractions for randomly-oriented composites were considered by means of a planar prototype as well as an aligned model for benchmarking. A high contrast property is assumed for the composite constituents to take into account the sensitivity of such mediums to fiber clustering [6]. A list of used symbols is also provided in Table 1.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Partitioning on the Clustering Index of Randomly-Oriented Fiber Composites: A Parametric Study

Javanbakht

Hall

Öchsner

2017

DDF

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In the current study, five cases of fiber distributions are considered in a fiber-reinforced composite: one random, three partitioned (one uniform and two biased cases), and one aligned case for benchmarking. The finite element method and the principal component analysis were used to interpret the results of orientation tensors and detect any possible clusterings of a representative volume element (RVE). The obtained effective conductivity values were extensively controlled by the fiber volume fraction. At the same time, the uniformity of the random distributions could be recognized. Cross-partition resistance was also detected for the partitioned cases which contributed to a reduced heat transfer capability. Finally, the clustering indexes did not show a direct correlation with the conductivity results, and thus a case-by-case investigation is recommended to consider the anisotropic aspects of a microstructure.

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Effective Thermal Conductivity of Fiber Reinforced Composites Under Orientation Clustering

Javanbakht

Hall

Öchsner

2018

Engineering Design Applications

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Analysis of Mechanical Behavior of a Short Fiber Composite Using Micromechanics Based Model. Effects of Fiber Clustering on Composite Stiffness and Crack Initiation.

Cited by 18 publications

References 1 publication

Analytic and computational micromechanics of clustering and interphase effects in carbon nanotube composites.

Analytic and computational micromechanics of clustering and interphase effects in carbon nanotube composites.

The Effect of Partitioning on the Clustering Index of Randomly-Oriented Fiber Composites: A Parametric Study

Effective Thermal Conductivity of Fiber Reinforced Composites Under Orientation Clustering

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