Computational modelling of void growth in Phenolic Molding Compounds filled PolyPropylene from optical measurements

作者: AS Caro , F Bernardeau , D Perrin , R Leger , JC Benezet

DOI: 10.1016/J.POLYMERTESTING.2018.09.008

关键词: Materials sciencePolypropyleneRepresentative elementary volumeOptical measurementsMicrostructureElasticity (economics)Composite materialUltimate tensile strengthCavitationThermal

摘要: Abstract Phenolic molding compounds (PMC), also known as Bakelite™, are the first synthetic plastics ever produced. They still in use today electrical, household and automotive applications. However, one major drawback of PMC is their lack recycling option. Indeed, landfilling main route disposal, which constitutes a serious environmental burden. A new alternative method comminuted filler thermoplastic matrix, order to improve its mechanical thermal properties. Several key parameters manufactured composite structure fillers size distributions, loading percentage, adhesion at filler/matrix interface. These related properties composites, such tensile strength. In this work, polypropylene matrix filled with 20% by weight (d50 = 24 μm) functionalized 3% PP-g-MA matrix/fillers compatibility. FE model was developed from behavior each component. PP individually characterized tests instrumented photomechanics for characterization behaviors were modelled through set numerical (elasto-visco-plasticity Gurson criterion damage elasticity fillers). Numerical simulations several strain rates conducted on representative volume element various microstructures. Comparison between determinist results experimental data (strength, volumetric variation) shows that type modelling could be predictive tool design particulate composites optimized Hence, it an adequate way understand micromechanisms deformation (damage, cavitation).

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