Prediction of Elastic Properties of Glass Fiber Reinforced Epoxy Composites by Micromechanical Analysis

Authors

  • B. V. Subrahmanyam  Sir CR Reddy College of Engineering, Eluru, Andhra Pradesh, India
  • E. Venkateswara Rao  Sir CR Reddy College of Engineering, Eluru, Andhra Pradesh, India
  • CH. Lakshmi Poornima  Sir CR Reddy College of Engineering, Eluru, Andhra Pradesh, India
  • B. Lakshmi  Sir CR Reddy College of Engineering, Eluru, Andhra Pradesh, India

Keywords:

Composite, FEM, Representative Volume Element, Volume Fraction

Abstract

Recently, fiber reinforced polymer composites have a wide range of applications as a class of structural materials because of their advantages such as ease of fabrication, relatively low cost of production & superior strength as compared to neat polymer resins. The representative volume element (RVE) plays a central role in the mechanics and physics to calculate the effective properties of heterogeneous materials. The aim of the present work is to determine the elastic properties of glass fiber reinforced epoxy composite by varying the volume fraction of fiber. The properties of the composite are determined by finite element analysis (FEA) of the RVE with necessary boundary conditions using ANSYS. In order to validate the FEA model, the numerical results of elastic properties are compared with the analytical methods. It has been observed that elastic properties predicted by the finite element analysis agree well with the existing analytical predictions.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2017-12-31

Issue

Volume 2, Issue 2, March-April-2016

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
B. V. Subrahmanyam, E. Venkateswara Rao, CH. Lakshmi Poornima, B. Lakshmi, " Prediction of Elastic Properties of Glass Fiber Reinforced Epoxy Composites by Micromechanical Analysis, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 2, pp.153-156, March-April-2016.