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Prediction of mechanical properties of quaternary nanocomposites based on polypropylene using fuzzy logic
Journal of Elastomers & Plastics ( IF 1.7 ) Pub Date : 2020-01-08 , DOI: 10.1177/0095244319897281
Sajjad Daneshpayeh 1 , Faramarz Ashenai Ghasemi 1 , Shahnoosh Masoumi 2 , Meysam Nouri Niyaraki 3
Affiliation  

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.

中文翻译:

基于聚丙烯的四元纳米复合材料力学性能的模糊逻辑预测

本研究的目的是研究和预测基于聚丙烯(PP)/乙烯-丙烯-二烯单体(EPDM)/玻璃纤维的四元纳米复合材料的机械性能,包括冲击强度、弹性模量和断裂伸长率。 (GL)/石墨烯纳米片 (GPn) 通过模糊逻辑。选择了三个不同级别的参数,包括 EPDM、GL 和 GPn,用于与 PP 矩阵组合。模糊逻辑表面表明,EPDM 橡胶和 GPn 在纳米复合材料的弹性模量中起主要作用。高含量的 EPDM 含量导致冲击强度显着增加,一般而言,EPDM 的存在对断裂伸长率没有影响。
更新日期:2020-01-08
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