The elastic constants of randomly oriented fiber composites: a new approach to prediction

57Citations
Citations of this article
85Readers
Mendeley users who have this article in their library.

Abstract

This article proposes a new and simple technique to predict the elastic material constants for a random fiber composite, including tensile and shear moduli and the Poisson's ratios for both 2-D and 3-D cases. Through a simple example how the Rule of Mixtures is derived for a unidirectional composite, the present author first demonstrates that what differentiates a random fiber composite from a unidirectional one lies in the fiber orientation, which can be best reflected from the relationship between the system fiber volume fraction Vf and the fiber area fraction Af at a given direction of the composite. By establishing a general relationship between Vf and Af using the fiber orientation density function, the author has developed a simple method based on the Rule of Mixtures to calculate the elastic properties of a random fiber composite. The new model is compared to several existing models derived using more complicated mechanistic and mathematical theories. Previously published experimental data are also employed to verify the predictions of the new model. The results are found to be reasonably satisfactory.

References Powered by Scopus

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Pan, N. (1996). The elastic constants of randomly oriented fiber composites: a new approach to prediction. Science and Engineering of Composite Materials, 5(2), 63–72. https://doi.org/10.1515/secm.1996.5.2.63

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 44

71%

Researcher 9

15%

Professor / Associate Prof. 6

10%

Lecturer / Post doc 3

5%

Readers' Discipline

Tooltip

Engineering 45

75%

Materials Science 13

22%

Design 1

2%

Computer Science 1

2%

Save time finding and organizing research with Mendeley

Sign up for free