Zobrazeno 1 - 10
of 86
pro vyhledávání: '"Carlevaro C. Manuel"'
Publikováno v:
EPJ Web of Conferences, Vol 249, p 06005 (2021)
In this work, we study bidisperse mixtures of self-propelled magnetic particles of different shapes via discrete element method simulations. We show how these particles self-assemble into clusters and how these clusters depend on the ratio of the mix
Externí odkaz:
https://doaj.org/article/32d5ba7ba8d94ccda3ce4a7c899e3297
Publikováno v:
EPJ Web of Conferences, Vol 140, p 06009 (2017)
We present discrete element method simulations of the discharge of silos in two dimensions. We study the effect of the grain shape on the clogging of small apertures, considering regular polygons and disks of equal mass. In particular, we analyze the
Externí odkaz:
https://doaj.org/article/3890649b827f46c3aed2758e6a0876a3
Autor:
Carlevaro, C. Manuel, Kuperman, Marcelo N, Bouzat, Sebastián, Pugnaloni, Luis A, Madrid, Marcos A
The flow of grains through narrow apertures posses an extraordinary challenge: clogging. Strategies to alleviate the effect of clogging, such as the use of external vibration, are always part of the design of machinery for the handling of bulk materi
Externí odkaz:
http://arxiv.org/abs/2106.14864
Autor:
Madrid, Marcos A., Carlevaro, C. Manuel, Pugnaloni, Luis A., Kuperman, Marcelo, Bouzat, Sebastián
Publikováno v:
Phys. Rev. E 103, 030901 (2021)
We analyze the flow and clogging of circular grains passing through a small aperture under vibration in two dimensions. Via Discrete Element Method simulations, we show that when grains smaller than the original ones are introduced in the system as a
Externí odkaz:
http://arxiv.org/abs/2103.05420
Autor:
Basak, Rituparna, Carlevaro, C. Manuel, Kozlowski, Ryan, Cheng, Chao, Pugnaloni, Luis A., Kramar, Miroslav, Zheng, Hu, Socolar, Joshua E. S., Kondic, Lou
The interactions between particles in particulate systems are organized in `force networks', mesoscale features that bridge between the particle scale and the scale of the system as a whole. While such networks are known to be crucial in determining
Externí odkaz:
http://arxiv.org/abs/2102.12396
Autor:
Carlevaro, C. Manuel, Kozlowski, Ryan, Pugnaloni, Luis A., Zheng, Hu, Socolar, Joshua E. S., Kondic, Lou
Publikováno v:
Phys. Rev. E 101, 012909 (2020)
We discuss the results of simulations of an intruder pulled through a two-dimensional granular system by a spring, using a model designed to lend insight into the experimental findings described by Kozlowski et al. [Phys. Rev. E, 100, 032905 (2019)].
Externí odkaz:
http://arxiv.org/abs/1910.07073
Autor:
Kozlowski, Ryan, Carlevaro, C. Manuel, Daniels, Karen E., Kondic, Lou, Pugnaloni, Luis A., Socolar, Joshua E. S., Zheng, Hu, Behringer, Robert P.
Publikováno v:
Phys. Rev. E 100, 032905 (2019)
We report on a series of experiments in which a grain-sized intruder is pushed by a spring through a 2D granular material comprised of photoelastic disks in a Couette geometry. We study the intruder dynamics as a function of packing fraction for two
Externí odkaz:
http://arxiv.org/abs/1905.13119
Autor:
Fajardo, Jesús E., Lotto, Federico P., Vericat, Fernando, Carlevaro, C. Manuel, Irastorza, Ramiro M.
The aim of this study is to use a Multilayer Perceptron (MLP) Artificial Neural Network (ANN) for phaseless imaging the human heel (modeled as a bilayer dielectric media: bone and surrounding tissue) and the calcaneus cross-section size and location
Externí odkaz:
http://arxiv.org/abs/1902.07777
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Crystallographic data comes from a space-time average over all the unit cells within the crystal, so dynamic phenomena do not contribute significantly to the diffraction data. Many efforts have been made to reconstitute the movement of the macromolec
Externí odkaz:
http://arxiv.org/abs/1806.06102