Prediction of mechanical properties of quaternary nanocomposites based on polypropylene using fuzzy logic
Sajjad Daneshpayeh, Faramarz Ashenai Ghasemi, Shahnoosh Masoumi, Meysam Nouri Niyaraki
Abstract
The goal of the present study is to investigate and predict the mechanical properties, including impact strength, elastic modulus, and elongation-at-break of quaternary nanocomposites based on polypropylene (PP)/ethylene–propylene–diene monomer (EPDM)/glass fiber (GL)/graphene nanosheets (GPn) by fuzzy logic. Three parameters in different levels, including EPDM, GL, and GPn, were chosen for combination with a PP matrix. The fuzzy logic surfaces showed that the EPDM rubber and GPn had the main role in the elastic modulus of nanocomposites. The high levels of EPDM content resulted in a considerable increase in impact strength and, generally, the presence of EPDM had no effect on elongation-at-break.