Prediction of mechanical properties of quaternary nanocomposites based on polypropylene using fuzzy logic
Keyword(s):
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.
2017 ◽
Vol 50
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pp. 491-500
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