The shot blasting machine recovery device is an important part of the operation of the shot blasting machine to recover solid particles and reduce environmental pollution. The recovery efficiency of solid particles has an important influence on their processing efficiency and service life. The computational fluid dynamics and discrete element method (CFD-DEM) simulation method is applied to study the gas-solid two-phase flow characteristics and solid particle recovery efficiency of shot pellet recovery unit. The results show that the simulation results of outlet and inlet wind speeds and pressures are in good agreement with the experimental data, which verifies the accuracy of the simulation model. The existence of particle phase divides the recovery pipeline into inner high-speed flow area and outer low-speed flow area, which has little influence on the air flow distribution inside the recovery bin. The results of solid particle recovery efficiency show that with the increase of incident angle, the recovery efficiency of waste particles and shot particles first decreases and then increases, and the recovery efficiency is the lowest when the incident angle is 30°. With the increase of particle formation rate, the efficiency of shot recovery first increases and then decreases. When the particle formation rate is 2000 n/s, the efficiency of shot recovery is the highest, which has little influence on the efficiency of waste recovery.
LiYYouYLvX. Comparative study on the crack growth behaviours of E690 steel and heat-affected zone microstructures under cathodic potential in artificial seawater based on mechano-electrochemical effect at crack tip. Corros Sci2022; 198: 110103.
2.
XieXHuangQLongJ, et al. A new monitoring method for metal rust removal states in pulsed laser derusting via acoustic emission techniques. J Mater Process Technol2020; 275: 116321.
3.
YangHQZhangQTuSS, et al. A study on effects of mechanical stress and cathodic protection on marine coatings on mild steel in artificial seawater. J Mater Eng Perform2016; 25(9): 3863–3879.
4.
MultonSSellierA. Expansion modelling based on cracking induced by the formation of new phases in concrete. Int J Solids Struct2019; 160: 293–306.
5.
GongKWuMXieF, et al. Effect of dry/wet ratio and pH on the stress corrosion cracking behavior of rusted X100 steel in an alternating dry/wet environment. Constr Build Mater2020; 260: 120478.
6.
LiuJLiangJFengX, et al. Effects of inorganic ions on the transfer of weak organic acids and their salts in electrodialysis process. J Membr Sci2021; 624: 119109.
7.
SunQHanQXuR, et al. Localized corrosion behaviour of AA7150 after ultrasonic shot peening: corrosion depth vs. Impact energy. Corros Sci2018; 130: 218–230.
8.
PashkovAEMalashchenkoAYPashkovAA, et al. The upgrade of peen forming equipment for long-sized aircraft parts. IOP Conf Ser Mater Sci Eng2021; 1061(1): 012029.
9.
ChenXWheelerC. Computational Fluid Dynamics (CFD) modelling of transfer chutes: Assessment of viscosity, drag and turbulence models. Int J Multiphase Flow2015; 69: 42–53.
10.
ZouLSunJZSunZ, et al. Study of two free-falling spheres interaction by coupled SPH–DEM method. Eur J Mech B/Fluids2022; 92: 49–64.
11.
LunYLinLHeH, et al. Effects of vortex structure on performance characteristics of a multiblade fan with inclined tongue. Proc IMechE, Part A: J Power and Energy2019; 233(8): 1007–1021.
12.
QianJYHouCWWuJY, et al. Aerodynamics analysis of superheated steam flow through multi-stage perforated plates. Int J Heat Mass Transf2019; 141: 48–57.
13.
QianJYChenMRGaoZX, et al. Mach number and energy loss analysis inside multi-stage Tesla valves for hydrogen decompression. Energy2019; 179: 647–654.
14.
NematiHBreugemWPKwakkelM, et al. Direct numerical simulation of turbulent bubbly down flow using an efficient CLSVOF method. Int J Multiphase Flow2021; 135: 103500.
15.
OishiYTohgeYTasakaY, et al. Bubble clustering in a horizontal turbulent channel flow investigated by bubble-tracking velocimetry. Int J Multiphase Flow2019; 120: 103104.
16.
LiXLiBYuB, et al. Calculation of cavitation evolution and associated turbulent kinetic energy transport around a NACA66 hydrofoil. J Mech Sci Technol2019; 33(3): 1231–1241.
17.
ErdődiIHősC. Prediction of quarter-wave instability in direct spring operated pressure relief valves with upstream piping by means of CFD and reduced order modelling. J Fluids Struct2017; 73: 37–52.
18.
MeixuanSZhiqiangWJinjunW, et al. Study on tribocharging of CaCO3 particles based on CFD-DEM gas-solid two-phase flow coupling. Powder Technol2021; 393: 610–618.
KatendeASegarBIsmailI, et al. The effect of drill–pipe rotation on improving hole cleaning using polypropylene beads in water-based mud at different hole angles. J Pet Explor Prod Technol2020; 10(3): 1253–1262.
21.
BaumannAOezkayaESchnabelD, et al. Cutting-fluid flow with chip evacuation during deep-hole drilling with twist drills. Eur J Mech B/Fluids2021; 89: 473–484.
22.
HuaYNieWLiuQ, et al. The development and application of a novel multi-radial-vortex-based ventilation system for dust removal in a fully mechanized tunnelling face. Tunn Undergr Space Technol2020; 98: 103253.
23.
FanCLuoMLiS, et al. A thermo-hydro-mechanical-chemical coupling model and its application in acid fracturing enhanced coalbed methane recovery simulation. Energies2019; 12(4): 626.
24.
MahmoudHHamzaANasserMS, et al. Hole cleaning and drilling fluid sweeps in horizontal and deviated wells: Comprehensive review. J Pet Sci Eng2020; 186: 106748.
25.
HlostaJČermákMRozbrojJ, et al. CFD-DEM numerical model of laboratory scale fluidized bed coffee roaster. AIP Conf Proc2019; 2116: 320004.
26.
LinZSunXYuT, et al. Gas–solid two-phase flow and erosion calculation of gate valve based on the CFD-DEM model. Powder Technol2020; 366: 395–407.
27.
LinZSunXLiY, et al. Numerical study of gas–solid two-phase flow and erosion in a cavity with a slope. Particuology2022; 62: 25–35.
XuLLiYChaiX, et al. Numerical simulation of gas–solid two-phase flow to predict the cleaning performance of rice combine harvesters. Biosyst Eng2020; 190(301): 11–24.
30.
HongtuZOuyaZBotaoL, et al. Effect of drill pipe rotation on gas-solid flow characteristics of negative pressure pneumatic conveying using CFD-DEM simulation. Powder Technol2021; 387: 48–60.
31.
DongLWangYRinoshikaA. Effect of oscillation flow induced by lattices on a horizontal gas–solid two-phase flow. Powder Technol2021; 394: 926–934.
32.
BinCCongWZhiweiW, et al. Investigation of gas-solid two-phase flow across circular cylinders with discrete vortex method. Appl Therm Eng2009; 29(8–9): 1457–1466.
33.
LiSShenY. An approach to simulate gas-solid flow systems with process controllers. Chem Eng J2022; 429: 132443.
34.
VivacquaVLópezAHammondR, et al. DEM analysis of the effect of particle shape, cohesion and strain rate on powder rheometry. Powder Technol2019; 342: 653–663.
35.
RitvanenJChechurinYHyppänenT. Practical characterization and modeling method for macroscopic gas–solid flow in circulating fluidized bed. Chem Eng J2021; 421: 127819.
36.
JiaMWeiYYanC, et al. Experimental study of gas-solid flow characteristics and flow-vibration coupling in a full loaded inclined pipe. Powder Technol2021; 384: 379–386.
37.
ZhaoBWangJ. Statistical foundation of EMMS-based two-fluid models for heterogeneous gas-solid flow. Chem Eng Sci2021; 241: 116678.
38.
DuanZSunSLanZ, et al. Numerical simulation of a novel fluidized bed for gas-solid non-catalytic reactions (NRFB). Powder Technol2020; 372: 428–437.
39.
SenapatiSKDashSK. Computation of pressure drop for dilute gas–solid suspension across thin and thick orifices. Particuology2021; 55: 209–221.
40.
RodioMGCongedoPMAbgrallR. Two-phase flow numerical simulation with real-gas effects and occurrence of rarefaction shock waves. Eur J Mech B/Fluids2014; 45: 20–35.
41.
JainRLe PapeAGrubbA, et al. High-resolution computational fluid dynamics predictions for the static and dynamic stall of a finite-span OA209 wing. J Fluids Struct2018; 78: 126–145.
42.
HoppeFBreuerM. A deterministic breakup model for Euler–Lagrange simulations of turbulent microbubble-laden flows. Int J Multiphase Flow2020; 123: 103119.
43.
SaeedMKSirajMS. Mixing study of non-spherical particles using DEM. Powder Technol2019; 344: 617–627.
44.
LiuSZhaoLFangG, et al. Investigation on aerodynamic force nonlinear evolution for a central-slotted box girder under torsional vortex-induced vibration. J Fluids Struct2021; 106: 103380.
45.
ZhuGLiHWangZ, et al. Semi-resolved CFD-DEM modeling of gas-particle two-phase flow in the micro-abrasive air jet machining. Powder Technol2021; 381: 585–600.
46.
LiJSZhuLTYanWC, et al. Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: investigations on turbulence models. Powder Technol2021; 379: 108–126.
47.
RossbachVPadoinNMeierHF, et al. Influence of ultrasonic waves on the gas-solid flow and the solids dispersion in a CFB riser: Numerical and experimental study. Powder Technol2021; 389: 430–449.
48.
AdedejiOEDuarteCAR. Prediction of thickness loss in a standard 90° elbow using erosion-coupled dynamic mesh. Wear2020; 460–461: 203400.
49.
AkhshikSBehzadMRajabiM. CFD-DEM simulation of the hole cleaning process in a deviated well drilling: the effects of particle shape. Particuology2016; 25: 72–82.
50.
SunLXuWLuH, et al. Simulated configurational temperature of particles and a model of constitutive relations of rapid-intermediate-dense granular flow based on generalized granular temperature. Int J Multiphase Flow2015; 77: 1–18.
51.
LiJZhouFYangD, et al. Effect of swirling flow on large coal particle pneumatic conveying. Powder Technol2020; 362: 745–758.
52.
GuoY(Bill) YuX. Comparison of the implementation of three common types of coupled CFD-DEM model for simulating soil surface erosion. Int J Multiphase Flow2017; 91: 89–100.
