Coupled CFD-DEM Simulation of Seed Flow in Horizontal–Vertical Tube Transition

A series of computational fluid dynamics–discrete element method (CFD-DEM) simulations were applied to seed flow in horizontal–vertical 90-degree elbows. The performance of one-way and two-way CFD-DEM coupling methods was compared. Additionally, simulated seed velocities were compared to the current pneumatic conveying theory for each coupling method. Simulated field peas (Pisum sativum) were pneumatically conveyed to study the effect of air velocity (20, 25, and 30 m/s), seed rate (0.07, 0.21, and 0.42 kg/s), elbow diameter, D, (48.3, 60.3, and 72.4 mm), and elbow bend radius (1.5D, 2.5D, 3.5D, and 4.5D) on seed attributes (trajectory, velocity, and force). Results showed that seed velocity was significantly different between one-way and two-way coupling. Both methods resulted in nearly identical seed trajectory and force. Overall, simulated seed velocities had a strong correlation to values calculated through the current pneumatic conveyance theory. Dimensional analysis revealed that seed contact force was proportional to the elbow diameter to the power of 0.26 and inversely proportional to the elbow bend radius to the power of 0.5. Simulation results indicated that one-way coupling could be suitable to describe seed flow when two-way coupling may not be possible or practical.

[1]  Filippo Marchelli,et al.  A Comparison of Ansys Fluent and MFiX in Performing CFD-DEM Simulations of a Spouted Bed , 2021, Fluids.

[2]  Yumo Wang,et al.  Numerical Simulation of Elbow Erosion in Shale Gas Fields under Gas-Solid Two-Phase Flow , 2021, Energies.

[3]  Ying Chen,et al.  Coupled CFD-DEM Simulation of Seed Flow in an Air Seeder Distributor Tube , 2020, Processes.

[4]  Ying Chen,et al.  Discrete Element Modeling of Seed Metering as Affected by Roller Speed and Damping Coefficient , 2020, Transactions of the ASABE.

[5]  A. Yu,et al.  CFD-DEM Simulation of Large-Scale Dilute-Phase Pneumatic Conveying System , 2020, Industrial & Engineering Chemistry Research.

[6]  A. Levy,et al.  Experimental analysis of velocity reduction in bends related to vertical pipes in dilute phase pneumatic conveying , 2019, Powder Technology.

[7]  H. Kalman,et al.  Experimental study on the particle velocity development profile and acceleration length in horizontal dilute phase pneumatic conveying systems , 2018, Powder Technology.

[8]  H. Kalman,et al.  Experimental study on particle steady state velocity distribution in horizontal dilute phase pneumatic conveying , 2018, Chemical Engineering Science.

[9]  Lei Wang,et al.  Numerical simulation of seed motion characteristics of distribution head for rapeseed and wheat , 2018, Comput. Electron. Agric..

[10]  George E. Klinzing,et al.  A review of pneumatic conveying status, advances and projections , 2018, Powder Technology.

[11]  Frédéric Cointault,et al.  Influence of the divider head functioning conditions and geometry on the seed's distribution accuracy of the air-seeder , 2017 .

[12]  M. Molenda,et al.  Determination of the restitution coefficient of seeds and coefficients of visco-elastic Hertz contact models for DEM simulations , 2017 .

[13]  Chandana Ratnayake,et al.  A review of CFD modelling studies on pneumatic conveying and challenges in modelling offshore drill cuttings transport , 2017 .

[14]  Qian Zhang,et al.  Numerical prediction of erosion in elbow based on CFD-DEM simulation , 2016 .

[15]  Russell V. Lenth,et al.  Least-Squares Means: The R Package lsmeans , 2016 .

[16]  Ronald E. Vieira,et al.  Experimental and computational study of erosion in elbows due to sand particles in air flow , 2016 .

[17]  Yuan Tang,et al.  ggfortify: Unified Interface to Visualize Statistical Results of Popular R Packages , 2016, R J..

[18]  Xiaoping Chen,et al.  Development and test of CFD-DEM model for complex geometry: A coupling algorithm for Fluent and DEM , 2013, Comput. Chem. Eng..

[19]  Santiago Laín,et al.  Characterisation of pneumatic conveying systems using the Euler/Lagrange approach , 2013 .

[20]  Marek Molenda,et al.  Influence of grain shape and intergranular friction on material behavior in uniaxial compression: Experimental and DEM modeling , 2012 .

[21]  Zenon Mróz,et al.  Investigation of wall stress and outflow rate in a flat-bottomed bin: A comparison of the DEM model results with the experimental measurements , 2011 .

[22]  Aibing Yu,et al.  Numerical Simulation of the Gas-Solid Flow in Three-Dimensional Pneumatic Conveying Bends , 2008 .

[23]  M. Güner,et al.  Pneumatic conveying characteristics of some agricultural seeds , 2007 .

[24]  G. Iaccarino,et al.  Near-wall behavior of RANS turbulence models and implications for wall functions , 2005 .

[25]  E. Baryeh.  A simple grain impact damage assessment device for developing countries , 2003 .

[26]  Hamid Arastoopour,et al.  Numerical simulation and experimental analysis of gas/solid flow systems: 1999 Fluor-Daniel Plenary lecture , 2001 .

[27]  J. Westerweel.  Fundamentals of digital particle image velocimetry , 1997 .

[28]  P. Roache.  QUANTIFICATION OF UNCERTAINTY IN COMPUTATIONAL FLUID DYNAMICS , 1997 .

[29]  P. Roache.  Perspective: A Method for Uniform Reporting of Grid Refinement Studies , 1994 .

[30]  Yutaka Tsuji,et al.  Lagrangian numerical simulation of plug flow of cohesionless particles in a horizontal pipe , 1992 .