ANN IN ESTIMATION SHEAR MODULUS OF LAMINATE COMPOSITE

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The International Journal of Materials and Engineering Technology
Volume:1 Issue:1
ANN IN ESTIMATION SHEAR MODULUS OF LAMINATE COMPOSITE

ANN IN ESTIMATION SHEAR MODULUS OF LAMINATE COMPOSITE

Authors : Halil İbrahim KURT, Necip Fazıl YILMAZ, Murat ODUNCUOĞLU

Pages : 1-5

View : 60 | Download : 11

Publication Date : 2018-12-30

Article Type : Research Paper

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

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