ANN IN ESTIMATION SHEAR MODULUS OF LAMINATE COMPOSITE

Year 2018, Volume: 1 Issue: 1, 1 - 5, 30.12.2018

Halil İbrahim Kurt , Necip Fazıl Yılmaz , Murat Oduncuoğlu

Abstract

Abstract

 

The shear modulus of the
composite materials and the elastic properties of the fiber are similar to each
other. In this study, the effect of reinforcing type and weight ratio on the
shear modulus of carbon/epoxy and kevlar/epoxy composites was theoretically
investigated and the average error rates and correlation values were analyzed.
Artificial neural networks approach was used in the study. The ratio of Ssa/SiC
was determined as minimum and maximum of 0 and 20, respectively. In artificial
neural network method, 6 neurons one hidden layer were used. It was observed
that SiC was an important reinforcing phase for kevlar/epoxy composites but it
was not for carbon/epoxy composites.

Keywords

ANN, Composite, Kevlar

References

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