Quantitative Electron Tomography of Rubber Composites

Electron Microscopy and Analysis Group Conference 2013

Staniewicz, Lech^1 ; Vaudey, Thomas^2 ; Degrandcourt, Christophe^2 ; Couty, Marc^2 ; Gaboriaud, Fabien^2 ; Midgley, Paul^1

Department of Materials Science and Metallurgy, University of Cambridge, Pembroke Street, Cambridge CB2 3QZ, United Kingdom^1

Manufacture Française des Pneumatiques Michelin, 23 Place des Carmes Dechaux, 63040 Clermont-Ferrand cedex 9, France^2

关键词: Electron tomography;    Filler materials;    Machine learning methods;    Particle spacing;    Payne-effects;    Rubber composite;    Single object;    Viscoelastic behaviour;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/522/1/012042/pdf
DOI  :  10.1088/1742-6596/522/1/012042

来源: IOP

【 摘 要 】

Rubber composite materials have many applications, one example being tyre manufacture. The presence of a filler material in the composite (such as carbon black or silica) causes its mechanical properties to differ in several ways when compared to pure rubber such as viscoelastic behaviour (the Payne effect), increased tensile strength and improved wear resistance. To fully understand these properties, it is necessary to characterise how the filler material is organised on the nanoscale. Using composite materials representative of those found in tyres, this work illustrates the use of electron tomography and machine learning methods as tools to describe the percolation behaviour of the filler; in this case, we focus on the largest proportion of particles absorbed into one single object as a function of particle spacing.