Publications
Authors | Gilson, L. ; Wenzl, J. ; Paven, M. ; Kappl, M. ; Butt, H.-J. ; Vollmer, D. ; Auernhammer, G. |
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Title |
Formation, deformation, rolling and sliding of particles and particle aggregates: Mechanisms and applications
Particles in Contact : Micro Mechanics, Micro Process Dynamics and Particle Collective, Antonyuk, S., ed. |
Date | 01.08.2019 |
Number | 58073 |
Abstract | Particulate systems under external forces, like mechanical load, exhibit reorganization processes on various length and times scales. Here we review our investigation of the characterization of the mechanical properties of nanoporous colloidal networks and micrometer sized granular particles. To quantify the mechanical properties of nanoporous colloidal networks, we used soot templated surfaces as model system. These surfaces have the advantage that the hardness and the wetting properties of the network can be easily tuned. Bending of particle chains and breaking of single contact points were resolved by AFM. The elastic and plastic modulus of the network was monitored using the colloidal probe technique or for harder networks by nanoindentation. To gain insight into the adhesion force of hydrophobic porous networks, microspheres coated with a fluorinated soot-templated layer were investigated. In contrast to smooth surfaces, the roughness gives rise to an adhesion force which depends on the load. In the second part, we discuss particle agglomerates which are only physically linked. To relate macroscopic processes to the motion of single particles a combination of confocal microscopy and high resolution mechanical testing was used. We have developed measurement and image analysis techniques that allows an automatic tracking of the translation and rotation of the particles under mechanical load (e.g. shear). 3D imaging of granular systems under mechanical deformation allows following the trajectories of the granular particles. Here, we also describe methods to detect the rotation of spherical particles. First steps towards using simulations for a refinement of experimental data, e.g., the estimation of friction parameters is shown. <br />Particles in Contact : Micro Mechanics, Micro Process Dynamics and Particle Collective<br />ISBN 978-3-030-15898-9 |
Publisher | Springer |
Wikidata | |
Citation | Springer 2019 (2019) 89-114 |
DOI | https://doi.org/10.1007/978-3-030-15899-6_4 |
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