Investigation on efficiency of analytical relations to predict the properties of reinforced nanocomposites

Mosalman, Sina; Rash-Ahmadi, Samrand

doi:10.22067/jmme.2021.70720.1017

Investigation on efficiency of analytical relations to predict the properties of reinforced nanocomposites

Document Type : Original Articles

Authors

Sina Mosalman ¹

Samrand Rash-Ahmadi ²

¹ Department of Mechanical Engineering, Urmia University, Urmia, Iran.

² Department of Mechanical Engineering, Urmia University, Urmia, Iran

10.22067/jmme.2021.70720.1017

Abstract

Many theoretical, micromechanical and macro mechanical models have been suggested to predict the treatment of polymer nanocomposites reinforced with different nanoparticles. Type, size and mechanical properties of base matrix and filler are the parameters which have been more important through these models. In some models, some simplifications and assumptions have been applied, so less parameters have been involved at the resultant relation. But sometimes, these simplifications caused inaccuracy in the final results. Aim of this investigation is to compare accuracy of the results of tensile tests with described models, and to suggest the most suitable model that predicts the properties of studying nanocomposite. For this Purpose, poly methyl methacrylate (PMMA) was chosen as the base matrix and TiO2, SiO2 and Al2O3 nanoparticles as reinforcements. Elastic modulus of composites indicated 7, 4 & 4% increasing rather than base material. Results obtained from the tests were compared with theoretical models. The comparisons showed that the Pan’s 3D model predicts the results with a good approximation according to experimental tests for most of samples.

Keywords

Nanocomposite

Mechanical properties

Analytical models

Nano particles

young modulus

20.1001.1.20087462.1400.33.1.8.2

Subjects

Advanced Materials

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