Experimental and numerical determination of mechanical properties of polygonal wood particles and their flow analysis in silos
- 461 Downloads
Responding to a lack in the literature, mechanical properties of polygonal wood particles are determined for use in a discrete element model (DEM) for flow analysis in silos, and some methods are proposed for determining such parameters. The parameters arrived at here have also formed part of the input to the SPOLY software, developed in-house to compute the DEM model with spheropolyhedron elements. The model is validated using a 2D physical model, where “prismatic” particles with polygonal cross sections are placed inside a silo with variable aperture and hopper angle. Validation includes comparison of flow-rates computed by SPOLY, displacement profiles, and clogging thresholds with experimental results. The good agreement that emerges will encourage future use of miniature triaxial tests, grain-surface profilometry, inclined slope tests, and numerical analysis of the intragranular stresses—toward a direct construction of the contact-deformation relations required in realistic DEM modelling of particle flow with angular-shaped particles.
KeywordsMechanical properties Wood flow Silo Polygonal particle SPOLY software DEM
The authors acknowledge technical support from Ross Barker and Shiao-Huey Chow in the PIV analysis of interface deformation tests. We sincerely thank David Airey, Jørgen Nielsen, and Celia Lozano Grijalba for their helpful discussions with us. FAM is supported by the CERDS funding scheme.
- 7.Barletta, D., Berry, R.J., Larsson, S.H., Lestander, T.A., Poletto, M., Ramirez-Gomez, Á.: Can bulk solids best practice techniques for flow characterization and handling equipment design be used reliably for biomass materials? In: CHoPS 2012 7th International Conference for Conveying and Handling of Particulate Solids. Friedrichshafen, Germany (2012)Google Scholar
- 8.Chung, Y.C.: Discrete element modelling and experimental validation of a granular solid subject to different loading conditions. Ph.D. thesis, University of Edinburgh, Edinburgh (2006)Google Scholar
- 19.Härtl, J., Ooi, J.Y., Theuerkauf, J.: A numerical study of the influence of particle friction and wall friction on silo flow. In: Proceedings of the 4th International Symposium Reliable Flow of Particulate Solids (RELPOWFLOW IV), Tromsø, Norway, 10–12 June 2008Google Scholar
- 20.Hidalgo, R.C., Zuriguel, I., Maza, D., Pagonabarraga, I.: Role of particle shape on the stress propagation in granular packings. Phys. Rev. Lett. 103(11), 118001 (2009) Google Scholar
- 21.Hidalgo, R.C., Kadau, D., Kanzaki, T., Herrmann, H.J.: Granular packings of cohesive elongated particles. Granul. Matter 14(2), 191–196 (2012)Google Scholar
- 22.Kanzaki, T., Acevedo, M., Zuriguel, I., Pagonabarraga, I., Maza, D., Hidalgo, R.C.: Stress distribution of faceted particles in a silo after its partial discharge. Eur. Phys. J. E Soft Matter Biol. Phys. 34(12), 1–8 (2011)Google Scholar
- 23.Langston, P.A., Tuzun, U., Heyes, D.M.: Continuous potential discrete particle simulations of stress and velocity fields in hoppers: transition from fluid to granular flow. Chem. Eng. Sci. 49, 1259–1275 (1994)Google Scholar
- 26.Liu, Y., Shen, L., Zheng, Q.: Atomic-scale friction modulation by actuating substrate sub-nanometer vibration. Int. J. Multiscale Comput. Eng. 11(1) (2013)Google Scholar
- 30.Owonikoko, A., Berry, R.J., Bradley, M.S.A.: The difficulties of handling biomass and waste: characterisation of extreme shape particles. Bulk Solids Handl. 7/8, 366–371(2011)Google Scholar
- 32.Pournin, L., Liebling, T.M.: From spheres to spheropolyhedra: generalized distinct element methodology and algorithm analysis. In: Cook, W., Lovász, L., Vygen, J. (eds.) Research Trends in Combinatorial Optimization, pp. 347–363. Springer, Berlin (2009)Google Scholar