Fluidized discrete particle modeling

Bokkers, G. A., Van Sint Annaland, M., and Kuipers, J. A. M., Comparison of continuum models using kinetic theory of granular flow with discrete particle models and experiments extent of particle mixing induced by bubbles. Proceedings of Fluidization XI, May 9-14, 2004, 187-194, Naples, Italy (2004). 

Development of improved closure laws for the rheological description of fluidized suspensions on basis of discrete particle models... 

Deen NG, Annaland MV, Van der Hoef MA, Kuipers JAM Review of discrete particle modeling of fluidized beds, Chem Eng Sci 62 28-44, 2007. 

A reliable correlation between the 2D image intensity and the true 3D solids fraction in fluidized beds is required to obtain more accurate information on the solid particle flux profiles in granular systems. Using only experimental data, it is difficult—if not impossible—to obtain such a correlation, but by using data from discrete particle model (DPM) simulations (which are explained in detail in Section 2.2.1) to create artificial 2D images, the 2D to 3D correlation for the soHds firaction could be reconstructed. 

De JongJF, van Sint Annaland M, Kuipers JAM Membrane-assisted fluidized beds—part 1 development of an immersed boundary discrete particle model, Chem Eng Sd 84(24) 814-821, 2012b. 

De JongJF, Dang TYN, van Sint Annaland M, Kuipers JAM Comparison of a discrete particle model and a two-fluid model to experiments of a fluidized bed rvith flat membranes. Powder Technol 230 93—105, 2012d. 

In addition to partition and elongation, the gas flow rate in the different compartments of horizontal fluidized bed equipment can be used to manipulate the residence time distribution of the particles and, thus, the quality of the outlet product. The use of CFD can support the design of compartments, partitions and weirs. Not only the here briefly presented two-fluid (Euler-Euler) approach, but also Euler-Lagrange approaches (so-called discrete particle models, DPM) can serve this goal, as will be discussed in Section 7.5.4. 

DEM discrete element method DPM discrete particle model FB fluidized bed... 

Discrete particle modeling (DPM) is an advanced computational technique for particulate systems (in this case, fluidized beds) that has already been presented in Chapter 7 of Volume 3, Modem Drying TechnoU. DPM combines continuous (Eulerian) CFD for the gas phase with a discrete (Lagrangian) consideration of the particle phase by means of a discrete element method (DEM), and is therefore often also denoted as DEM-CFD. Its appHcation enables the resolution of not only interactions between the gas and the particle phase, but also of particle-particle and particle-wall interactions, in the sense of a four-way coupling (compare also with Chapter 5 in Volume 1, Modem Drying Technology). 

Fries, L., 2012. Discrete particle modelling of a fluidized bed granulator. Diss.,... 

Sutkar VS, Deen NG, Mohan M, et al Numerical investigations of a pseudo-2D spout fluidized bed with draft plates using a scaled discrete particle model, Chem Eng Sci 104 790-807, 2013. 

Tsuji Y, Tanaka T, Yonemura S Cluster patterns in circulating fluidized beds predicted by numerical simulation discrete particle model versus two-fluid model. Powder Technol 95 254-264, 1998. http //dx.doi.org/10.1016/S0032-5910(97)03349-4. 

J. F. De Jong, H. J. van Gerner, M. van Sint Annaland and J. A. M. Kuipers, Development of a Novel Hybrid Discrete Particle - Immersed Boundary Model for Fluidized Bed Membrane Reactors, Seventh International Conference on CFD in the Minerals and Process Industries. CSIRO, Melbourne, 2009. 

A hierarchy of computational models is available to simulate dispersed gas-liquid-solid flows in three-phase slurry and fluidized bed reactors [84] continuum (Euler-Euler) method, discrete particle/bubble (Euler-Lagrange) method, or front tracking/capturing methods. While every method has its own... 

---