izpis_h1_title_alt

Digital image correlation based internal friction characterization in granular materials
ID Venkatesh, Ragunanth (Avtor), ID Voloshin, Arkady S. (Avtor), ID Emri, Igor (Avtor), ID Brojan, Miha (Avtor), ID Govekar, Edvard (Avtor)

URLURL - Izvorni URL, za dostop obiščite https://link.springer.com/article/10.1007%2Fs11340-019-00570-8 Povezava se odpre v novem oknu
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Izvleček
Based on the realization that Newtonian fluids have the unique property to redirect the forces applied to them in a perpendicular direction, a new apparatus, called the Granular Friction Analyzer (GFA), and the related GFA index, were proposed for characterizing the internal friction and related flow behavior of granular materials under uniaxial compression loading. The calculation of the GFA index is based on the integration of the internal pressure distribution along the cylinder wall, within which the granular material is being uniaxially compressed by a piston. In this paper an optical granular friction analyzer (O-GFA) is presented, where a digital image correlation (DIC) method is utilized to assess the cylinder strains used to calculate the internal pressure distribution. The main advantage of using the DIC method is that the starting point (piston-powder contact point) and the length of the integration considering the edge effects can be defined. By using the DIC full-field, instead of a few points strain measurements, a 2% improvement of the GFA indexʼs accuracy has been achieved and its robustness with respect to the number of points has been demonstrated. Using the parametric error analysis it has been shown that most of the observed total error (7.5%) arises from the DIC-method-based measurements of the strains, which can be improved by higher-resolution cameras and DIC algorithms for the strain evaluation. Additionally, it was shown that the GFA index can be used for determining the well-known Janssen model parameters. The latter was demonstrated experimentally, by testing three SS 316 L granular material samples with different mean particle sizes. The results confirm that the mean particle size regulates the internal friction of granular materials.

Jezik:Angleški jezik
Ključne besede:granular materials, uniaxial compression, internal friction, flowability, digital image correlation
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Poslano v recenzijo:09.05.2019
Datum sprejetja članka:16.12.2019
Datum objave:16.01.2020
Leto izida:2020
Št. strani:Str. 481-492
Številčenje:Vol. 60, iss. 4
PID:20.500.12556/RUL-127267 Povezava se odpre v novem oknu
UDK:531:62-492-026.772(045)
ISSN pri članku:0014-4851
DOI:10.1007/s11340-019-00570-8 Povezava se odpre v novem oknu
COBISS.SI-ID:17018651 Povezava se odpre v novem oknu
Datum objave v RUL:01.06.2021
Število ogledov:1013
Število prenosov:223
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Experimental mechanics
Skrajšan naslov:Exp. mech.
Založnik:Springer
ISSN:0014-4851
COBISS.SI-ID:4569866 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:16.01.2021

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:zrnati materiali, enoosno stiskanje, notranje trenje, pretočnost, korelacija digitalne slike

Projekti

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P2-0241
Naslov:Sinergetika kompleksnih sistemov in procesov

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