Title of article
Micromechanical modelling of the elastoplastic behaviour of nanodispersed elastomer particle-modified PA 6
Author/Authors
Huang، نويسنده , , Jing and Schmauder، نويسنده , , Siegfried and Weber، نويسنده , , Ulrich and Geier، نويسنده , , Simon، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
5
From page
107
To page
111
Abstract
In this study the elastoplastic behaviour of nanodispersed elastomeric copolymer particle-modified PA 6 is investigated. Micromechanical modelling is proposed to predict the elastoplastic response of the PA 6/elastomer composite under uniaxial tensile loading.
elf-consistent embedded unit cell model is chosen in this work which has been successfully applied for simulating the mechanical behaviour of metal matrix composites (MMCs). This model is applied for the first time to evaluate the elastoplastic behaviour of PA 6 matrix composites with varying volume fractions of elastomer. The elastomer particles are idealistically assumed to be spherical. In the model a circular inclusion is surrounded by the PA 6 polymer matrix, which is again embedded in the PA 6/elastomer composite. This cell was subjected to uniaxial loading. The mechanical behaviour is determined iteratively in a self-consistent manner using updated elastic–plastic data as new input.
iled experimental procedure (uniaxial tensile tests in combination with the ARAMIS high speed camera systems) for determining the true stress–strain curves of the matrix and the elastomer as input data for the simulation is reported. In addition, a numerical surface model based on the real structure of the elastomer particles is studied numerically for comparison. Two analytical micromechanical composite models are chosen for evaluating the elastic performance of the composite. The predictions from the 3D self-consistent embedded unit cell model are in good agreement with the experimental results.
Keywords
3D self-consistent embedded cell model , Micromechanical modelling , Elastomer modified PA , 6 , ARAMIS-measurement
Journal title
Computational Materials Science
Serial Year
2012
Journal title
Computational Materials Science
Record number
1689380
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