ZHANG Qingbo, GUO Tao, HONG Guojun, CAO Lei. Numerical prediction of particle trajectories in an erosion experiment[J]. Explosion And Shock Waves, 2021, 41(2): 024201. doi: 10.11883/bzycj-2020-0118
Citation:
ZHANG Qingbo, GUO Tao, HONG Guojun, CAO Lei. Numerical prediction of particle trajectories in an erosion experiment[J]. Explosion And Shock Waves, 2021, 41(2): 024201. doi: 10.11883/bzycj-2020-0118
ZHANG Qingbo, GUO Tao, HONG Guojun, CAO Lei. Numerical prediction of particle trajectories in an erosion experiment[J]. Explosion And Shock Waves, 2021, 41(2): 024201. doi: 10.11883/bzycj-2020-0118
Citation:
ZHANG Qingbo, GUO Tao, HONG Guojun, CAO Lei. Numerical prediction of particle trajectories in an erosion experiment[J]. Explosion And Shock Waves, 2021, 41(2): 024201. doi: 10.11883/bzycj-2020-0118
It is necessary to study the erosive wear caused by conveying granules, but it is difficult to track particles trajectories which are required for erosion prediction, especially in shot blasting experiments. In an erosion test, marine sand grains are ejected from a sand-blasting gun and impact Q235 steel plate. The impinging velocities and impinging locations of the sand grains with different inlet air pressure are measured statistically. The two-way coupling process inside or outside the blast nozzle between sand grains and high-speed compressible air are numerically simulated to numerically describe the trajectories of particles. In this simulation case, some approaches are studied and compared with the experimental results. Considering the influence of compressible air on the boundary flow separation of the sand, a new drag law, for the case that the relative Mach number of irregularly shaped particles is approximate to 1, is proposed by making drag coefficient change with the relative Mach number. Local slopes, the angle of which is random, are assumed on the wall to simulating the rough wall rebound effect. The mean value of the slope angles is 0º and the standard deviation is 20º. Magnus lift force is also integrated into the numerical simulation to enlarge the jet angle of particles and make the erosive scar larger. By combining the nonpherical high Mach number drag law, rough wall model and Magnus lift force model, the simulation achieves satisfying result, in which the velocity magnitudes and impinging location distribution of particles agree well with the experimental data. It indicates that the particles trajectories in simulation are also roughly coincident with the real ones in experiment. This work proves tracking approaches affect the particles trajectories significantly and provides a valid tool to summarize and verify the erosion formula or to predict erosive wear.
CHEN J, WANG Y, LI X, et al. Reprint of “Erosion prediction of liquid-particle two-phase flow in pipeline elbows via CFD-DEM coupling method” [J]. Powder Technology, 2015, 282(9): 25–31. DOI: 10.1016/j.powtec.2015.05.037.
[2]
GIANANDREA V M, GIACOMO F, STEFANO M. A mixed Euler-Euler/Euler-Lagrange approach to erosion prediction [J]. Wear, 2015, 342–343(11): 138–153. DOI: 10.1016/j.wear.2015.08.015.
[3]
KARIMI S, SIAMACK A S, MCLAURY B S. Predicting fine particle erosion utilizing computational fluid dynamics [J]. Wear, 2017, 376–377(4): 1130–1137. DOI: 10.1016/j.wear.2016.11.022.
[4]
GNANAVELU A, KAPUR N, NEVILLE A, et al. An integrated methodology for predicting material wear rates due to erosion [J]. Wear, 2009, 267(11): 1935–1944. DOI: 10.1016/j.wear.2009.05.001.
[5]
OKITA R, ZHANG Y, MCLAURY B S, et al. Experimental and computational investigations to evaluate the effects of fluid viscosity and particle size on erosion damage [J]. Journal of Fluid Engineering, 2012, 134(6): 061301. DOI: 10.1115/1.4005683.
[6]
KAUNDAL R. Role of process variables on solid particle erosion of polymer composites: a critical review [J]. Silicon, 2017, 9(2): 223–238. DOI: 10.1007/s12633-014-9191-5.
[7]
OKA Y I, YOSHIDA T. Practical estimation of erosion damage caused by solid particle impact: Part 2: mechanical properties of materials directly associated with erosion damage [J]. Wear, 2005, 259(1–6): 95–101. DOI: 10.1016/j.wear.2005.01.040.
[8]
CLIFT R, GRACE J R, WEBER M E. Bubbles, drops and particles[M]. New York: Academic Press, 1978: 275−278.
[9]
LOTH E. Compressibility and rarefaction effects on drag of a spherical particle [J]. AIAA Journal, 2008, 46(9): 2219–2228. DOI: 10.2514/1.28943.
[10]
HAIDER A, LEVENSPIEL O. Drag coefficient and terminal velocity of spherical and nonspherical particles [J]. Powder Technology, 1989, 58(1): 63–70. DOI: 10.1016/0032-5910(89)80008-7.
[11]
SOLNORDAL C B, WONG C Y, BOULANGER J. An experimental and numerical analysis of erosion caused by sand pneumatically conveyed through a standard pipe elbow [J]. Wear, 2015, 336–337(8): 43–57. DOI: 10.1016/j.wear.2015.04.017.
[12]
SOMMERFELD M, HUBER N. Experimental analysis and modelling of particle-wall collisions [J]. International Journal of Multiphase Flow, 1999, 25(6–7): 1457–1489. DOI: 10.1016/S0301-9322(99)00047-6.
[13]
OESTERLÉ B, BUI DINH T. Experiments on the lift of a spinning sphere in a range of intermediate Reynolds numbers [J]. Experiments in Fluids, 1998, 25(1): 16–22. DOI: 10.1007/s003480050203.
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