Issue |
EPJ Web Conf.
Volume 140, 2017
Powders and Grains 2017 – 8th International Conference on Micromechanics on Granular Media
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|
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Article Number | 08013 | |
Number of page(s) | 4 | |
Section | Cohesive granular materials | |
DOI | https://doi.org/10.1051/epjconf/201714008013 | |
Published online | 30 June 2017 |
https://doi.org/10.1051/epjconf/201714008013
Numerical modeling of the tensile strength of a biological granular aggregate: Effect of the particle size distribution
1 Laboratoire Charles Coulomb, UMR 5221, CNRS-Université de Montpellier, 163 Rue Auguste Broussonet, Montpellier, France
2 UMR IATE, CIRAD, INRA, Montpellier SupAgro, Université de Montpellier, Montpellier, France
3 LMGC, UMR 5508, CNRS-Université de Montpellier, 163 Rue Auguste Broussonet, Montpellier, France
4 MSE2, UMI 3466, CNRS-MIT, DCEE, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, USA
* e-mail: kmheinze@um2.fr
Published online: 30 June 2017
Wheat grains can be considered as a natural cemented granular material. They are milled under high forces to produce food products such as flour. The major part of the grain is the so-called starchy endosperm. It contains stiff starch granules, which show a multi-modal size distribution, and a softer protein matrix that surrounds the granules. Experimental milling studies and numerical simulations are going hand in hand to better understand the fragmentation behavior of this biological material and to improve milling performance. We present a numerical study of the effect of granule size distribution on the strength of such a cemented granular material. Samples of bi-modal starch granule size distribution were created and submitted to uniaxial tension, using a peridynamics method. We show that, when compared to the effects of starch-protein interface adhesion and voids, the granule size distribution has a limited effect on the samples’ yield stress.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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