A Numerical Model to Predict the Anisotropy of Polymer Composites Reinforced with High-Aspect-Ratio Short Aramid Fibers

Joint Authors

Yang, Xiaoxiang
Huang, LiHong
Gao, Jianhong

Source

Advances in Polymer Technology

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-07-02

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Chemistry

Abstract EN

Some fiber types have a high aspect ratio and it is very difficult to predict their composites using traditional finite element (FE) modeling.

In this study, an FE model was developed to predict the anisotropy of composites reinforced by short aramid fibers.

Three fiber distribution types were studied as follows: perfectly aligned, normally distributed, and randomly distributed fibers.

The elastic constants were obtained, and, for different alignment angles and parameters in the fiber orientation distribution function, their numerical results were compared to those of the Mori–Tanaka model.

Good agreement was obtained; thus, the employed FE model is an excellent and simple method to predict the isotropy and anisotropy of a composite with high-aspect-ratio fibers.

Therefore, the FE model was employed to predict the orientation distribution of a composite fiber with a nonlinear matrix.

The predicted and experimental results agree well.

American Psychological Association (APA)

Gao, Jianhong& Yang, Xiaoxiang& Huang, LiHong. 2019. A Numerical Model to Predict the Anisotropy of Polymer Composites Reinforced with High-Aspect-Ratio Short Aramid Fibers. Advances in Polymer Technology،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1122036

Modern Language Association (MLA)

Gao, Jianhong…[et al.]. A Numerical Model to Predict the Anisotropy of Polymer Composites Reinforced with High-Aspect-Ratio Short Aramid Fibers. Advances in Polymer Technology No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1122036

American Medical Association (AMA)

Gao, Jianhong& Yang, Xiaoxiang& Huang, LiHong. A Numerical Model to Predict the Anisotropy of Polymer Composites Reinforced with High-Aspect-Ratio Short Aramid Fibers. Advances in Polymer Technology. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1122036

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1122036