Numerical Simulation of Granular Flow in Concrete Batching Plant via Discrete Element Method
Abstract
A new giant concrete batching plant with the production capacity of 270m3/hr was designed, analyzed and fabricated. In this concrete batching plant, the granular materials used for high-quality products must be uniformly mixed to attain a homogenous mixture. For this, the discrete element method (DEM) was utilized to simulate the filling, mixing, and discharging processes. The Hertz-Mindlin, elastic-plastic spring-dashpot and Simplified Johnson-Kendall-Roberts (SJKR) models were used for the interaction rules among granular particles. In the light of the aforementioned models, the first simulation with different particle sizes and the second simulation with monosized particles were realized. In the first simulation, the segregation by percolation and momentum segregation were perceived during the bunker filling stage, as well as the seeded granulation, which occurred in the mixer when the radii of particles were not monosized. Furthermore, in the second simulation, convective, diffusive and shear mixing mechanisms were observed and consequently the quantification of the mixing index was calculated using the lacey and miles statistical methods. At last, the active regions formed in the mixer were investigated by taking the velocity of the particles as reference during the mixing stages as well as the mixture throughput from the transfer chute.
References
- 1.Paul, E. L., Atiemo-Obeng, V. A., & Kresta, S. M. (2004). Handbook of Industrial Mixing. John Wiley & Sons.
- 2.Hassanpour, A., Tan, H., Bayly, A., Gopalkrishnan, P., Ng, B., & Ghadiri, M. (2011). Analysis of particle motion in a paddle mixer using Discrete Element Method (DEM). Powder Technology, 1–2, 189–194. https://doi.org/10.1016/j.powtec.2010.07.025DOI
- 3.Xia, R., Wang, X., Li, B., Wei, X., & Yang, Z. (2019). Discrete Element Method- (DEM-) Based Study on the Wear Mechanism and Wear Regularity in Scraper Conveyor Chutes. Mathematical Problems in Engineering, 1–12. https://doi.org/10.1155/2019/4191570DOI
- 4.Schmelzle, S., & Nirschl, H. (2018). DEM simulations: mixing of dry and wet granular material with different contact angles. Granular Matter, 2. https://doi.org/10.1007/s10035-018-0792-3DOI
- 5.Bertrand, F., Leclaire, L.-A., & Levecque, G. (2005). DEM-based models for the mixing of granular materials. Chemical Engineering Science, 8–9, 2517–2531. https://doi.org/10.1016/j.ces.2004.11.048DOI
- 6.Abouzeid, A.-Z. M., & Fuerstenau, D. W. (2010). Mixing–demixing of particulate solids in rotating drums. International Journal of Mineral Processing, 1–4, 40–46. https://doi.org/10.1016/j.minpro.2010.03.006DOI
- 7.Alian, M., Ein-Mozaffari, F., Upreti, S. R., & Wu, J. (2015). Using discrete element method to analyze the mixing of the solid particles in a slant cone mixer. Chemical Engineering Research and Design, 318–329. https://doi.org/10.1016/j.cherd.2014.07.003DOI
- 8.Lu, L.-S., & Hsiau, S.-S. (2008). Mixing in a vibrated granular bed: Diffusive and convective effects. Powder Technology, 1, 31–43. https://doi.org/10.1016/j.powtec.2007.07.036DOI
- 9.Sinnott, M. D., & Cleary, P. W. (2015). The effect of particle shape on mixing in a high shear mixer. Computational Particle Mechanics, 4, 477–504. https://doi.org/10.1007/s40571-015-0065-4DOI
- 10.Sato, Y., Nakamura, H., & Watano, S. (2008). Numerical analysis of agitation torque and particle motion in a high shear mixer. Powder Technology, 2, 130–136. https://doi.org/10.1016/j.powtec.2007.11.028DOI
- 11.Hlosta, J., Jezerská, L., Rozbroj, J., Žurovec, D., Nečas, J., & Zegzulka, J. (2020). DEM Investigation of the Influence of Particulate Properties and Operating Conditions on the Mixing Process in Rotary Drums: Part 2—Process Validation and Experimental Study. Processes, 2, 184. https://doi.org/10.3390/pr8020184DOI
- 12.Moakher, M., Shinbrot, T., & Muzzio, F. J. (2000). Experimentally validated computations of flow, mixing and segregation of non-cohesive grains in 3D tumbling blenders. Powder Technology, 1–3, 58–71. https://doi.org/10.1016/s0032-5910(99)00227-2DOI
- 13.Washino, K., Chan, E. L., Miyazaki, K., Tsuji, T., & Tanaka, T. (2016). Time step criteria in DEM simulation of wet particles in viscosity dominant systems. Powder Technology, 100–107. https://doi.org/10.1016/j.powtec.2016.08.018DOI
- 14.Norouzi, H. R., Zarghami, R., Sotudeh-Gharebagh, R., & Mostoufi, N. (2016). Coupled CFD-DEM Modeling. John Wiley & Sons.
- 15.TANG, P., & PURI, V. M. (2004). Methods for Minimizing Segregation: A Review. Particulate Science and Technology, 4, 321–337. https://doi.org/10.1080/02726350490501420DOI
- 16.Kim, K.-M., Bae, J.-H., Park, J.-I., & Han, J.-W. (2019). Segregation Charging Behavior of Ultra-Fine Iron Ore Briquette in Sinter Feed Bed: DEM Analysis. Metals and Materials International, 8, 1218–1225. https://doi.org/10.1007/s12540-019-00415-yDOI
- 17.Ma, X., Zhang, Y., Ran, H., & Zhang, Q. (2016). Segregation simulation of binary granular matter under horizontal pendulum vibrations. International Journal of Modern Physics B, 30, 1650214. https://doi.org/10.1142/s0217979216502143DOI
- 18.Rhodes, M. J. (2013). Introduction to Particle Technology. John Wiley & Sons.
- 19.LIGGGHTS, LAMMPS Improved for General Granular and Granular Heat Transfer Simulations Retrieved from http://www.cfdem.comLink
- 20.LAMMPS, LAMMPS User Manual, Sandia National Laboratories, USA. (Retrieved from http://lammps.sandia.gov/doc/Manual.html).Link
- 21.Mohanty, R., Mohanty, S., & Mishra, B. K. (2016). Study of flow through a packed bed using discrete element method and computational fluid dynamics. Journal of the Taiwan Institute of Chemical Engineers, 71–80. https://doi.org/10.1016/j.jtice.2016.03.025DOI
- 22.Komatsuzaki, T., & Iwata, Y. (2016). A combined approach for modeling particle behavior in granular impact damper using discrete element method and cellular automata. International Journal of Mechanics and Materials in Design, 3, 407–417. https://doi.org/10.1007/s10999-016-9344-3DOI
- 23.Cleary, P. W., & Prakash, M. (2004). Discrete–element modelling and smoothed particle hydrodynamics: potential in the environmental sciences. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 1822, 2003–2030. https://doi.org/10.1098/rsta.2004.1428DOI
- 24.Cundall, P. A., & Strack, O. D. L. (1979). A discrete numerical model for granular assemblies. Géotechnique, 1, 47–65. https://doi.org/10.1680/geot.1979.29.1.47DOI
- 25.Derakhshani, S. M., Schott, D. L., & Lodewijks, G. (2015). Micro–macro properties of quartz sand: Experimental investigation and DEM simulation. Powder Technology, 127–138. https://doi.org/10.1016/j.powtec.2014.08.072DOI
- 26.Smith, W., & Peng, H. (2013). Modeling of wheel–soil interaction over rough terrain using the discrete element method. Journal of Terramechanics, 5–6, 277–287. https://doi.org/10.1016/j.jterra.2013.09.002DOI
- 27.Iwashita, K., & Oda, M. (1998). Rolling Resistance at Contacts in Simulation of Shear Band Development by DEM. Journal of Engineering Mechanics, 3, 285–292. https://doi.org/10.1061/(asce)0733-9399(1998)124:3(285)DOI
- 28.Malone, K. F., & Xu, B. H. (2008). Determination of contact parameters for discrete element method simulations of granular systems. Particuology, 6, 521–528. https://doi.org/10.1016/j.partic.2008.07.012DOI
- 29.Li, T., Peng, Y., Zhu, Z., Zou, S., & Yin, Z. (2017a). Discrete Element Method Simulations of the Inter-Particle Contact Parameters for the Mono-Sized Iron Ore Particles. Materials, 5, 520. https://doi.org/10.3390/ma10050520DOI
- 30.Kenneth Langstreth, J., Kendall, K., & A.D., R. (1971). Surface energy and the contact of elastic solids. Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences, 1558, 301–313. https://doi.org/10.1098/rspa.1971.0141DOI
- 31.Derjaguin, B. V., Muller, V. M., & Toporov, Yu. P. (1975). Effect of contact deformations on the adhesion of particles. Journal of Colloid and Interface Science, 2, 314–326. https://doi.org/10.1016/0021-9797(75)90018-1DOI
- 32.Navarro, H. A., & de Souza Braun, M. P. (2013). Determination of the normal spring stiffness coefficient in the linear spring–dashpot contact model of discrete element method. Powder Technology, 707–722. https://doi.org/10.1016/j.powtec.2013.05.049DOI
- 33.Ucgul, M., Fielke, J. M., & Saunders, C. (2014). 3D DEM tillage simulation: Validation of a hysteretic spring (plastic) contact model for a sweep tool operating in a cohesionless soil. Soil and Tillage Research, 220–227. https://doi.org/10.1016/j.still.2013.10.003DOI
- 34.Thornton, C. (1997). Coefficient of Restitution for Collinear Collisions of Elastic-Perfectly Plastic Spheres. Journal of Applied Mechanics, 2, 383–386. https://doi.org/10.1115/1.2787319DOI
- 35.Hertz, H. (1882). Ueber die Berührung fester elastischer Körper. Crll, 92, 156–171. https://doi.org/10.1515/crll.1882.92.156DOI
- 36.Chand, R., Khaskheli, M. A., Qadir, A., Ge, B., & Shi, Q. (2012). Discrete particle simulation of radial segregation in horizontally rotating drum: Effects of drum-length and non-rotating end-plates. Physica A: Statistical Mechanics and Its Applications, 20, 4590–4596. https://doi.org/10.1016/j.physa.2012.05.019DOI
- 37.Walton, O. R. (n.d.). Potential Discrete Element Simulation Applications Ranging from Airborne Fines to Pellet Beds. SAE Transactions, 113, 471–483. https://doi.org/10.2307/44737907DOI
- 38.Behjani, M. A., Rahmanian, N., Fardina bt Abdul Ghani, N., & Hassanpour, A. (2017). An investigation on process of seeded granulation in a continuous drum granulator using DEM. Advanced Powder Technology, 10, 2456–2464. https://doi.org/10.1016/j.apt.2017.02.011DOI
- 39.O’Sullivan, C., & Bray, J. D. (2004). Selecting a suitable time step for discrete element simulations that use the central difference time integration scheme. Engineering Computations, 2/3/4, 278–303. https://doi.org/10.1108/02644400410519794DOI
- 40.Cullen, P. J., Romañach, R. J., Abatzoglou, N., & Rielly, C. D. (2015). Pharmaceutical Blending and Mixing. John Wiley & Sons.
- 41.Poux, M., Fayolle, P., Bertrand, J., Bridoux, D., & Bousquet, J. (1991). Powder mixing: Some practical rules applied to agitated systems. Powder Technology, 3, 213–234. https://doi.org/10.1016/0032-5910(91)80047-mDOI
Salamat, J., Genç, B. (2023). Numerical Simulation of Granular Flow in Concrete Batching Plant via Discrete Element Method. *The European Journal of Research and Development*, 3(2), 11-28. https://doi.org/10.56038/ejrnd.v3i2.219
Bibliographic Info