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A fuzzy logic model for prediction of tensile properties of epoxy/glass fiber/silica nanocomposites

Sajjad Daneshpayeh, Amir Tarighat, Faramarz Ashenai Ghasemi*Mohammad Sadegh Bagheri

Journal of Elastomers and Plastics, Volume 50, Issue 6, 2018(10), Pages 491-500. (JCR)

Abstract

The object of this work is to study and predict the tensile properties (tensile strength, elastic modulus, and elongation at break) of ternary nanocomposites based on epoxy/glass fiber/nanosilica using the fuzzy logic (FL). Two factors in three levels including glass fiber at 0, 5, and 10 wt% and nanosilica at 0, 0.5, and 1 wt% were chosen for adding to an epoxy matrix. From FL surfaces, it was found that the glass fiber content had a main role in the tensile properties of nanocomposites. The high levels of glass fiber content led to a significant increase in the elastic modulus and generally, the presence of glass fiber decreased the tensile strength and elongation at break. Also, addition of the nanosilica content resulted in an increased elastic modulus but decreased the elongation at break of nanocomposites. Finally, an FL model was obtained for each tensile property.

Key Words

Fuzzy logic; Tensile properties; Elastic modulus; Epoxy, Nanosilica

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