Bulletin of the American Physical Society
70th Annual Meeting of the APS Division of Fluid Dynamics
Volume 62, Number 14
Sunday–Tuesday, November 19–21, 2017; Denver, Colorado
Session E6: Multiphase Flows: Particle Laden IIMultiphase Particles

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Chair: Rodney Fox, Iowa State University Room: 406 
Sunday, November 19, 2017 4:55PM  5:08PM 
E6.00001: EulerLagrange Simulations of Shock WaveParticle Cloud Interaction Rahul Koneru, Bertrand Rollin, Frederick Ouellet, Chanyoung Park, S. Balachandar Numerical experiments of shock interacting with an evolving and fixed cloud of particles are performed. In these simulations we use EulerianLagrangian approach along with stateoftheart pointparticle force and heat transfer models. As validation, we use Sandia Multiphase Shock Tube experiments and particleresolved simulations. The particle curtain upon interaction with the shock wave is expected to experience KelvinHelmholtz (KH) and RichtmyerMeshkov (RM) instabilities. In the simulations evolving the particle cloud, the initial volume fraction profile matches with that of Sandia Multiphase Shock Tube experiments, and the shock Mach number is limited to M$=$1.66. Measurements of particle dispersion are made at different initial volume fractions. A detailed analysis of the influence of initial conditions on the evolution of the particle cloudis presented. The early time behavior of the models is studied in the fixed bed simulations at varying volume fractions and shock Mach numbers.The mean gas quantities are measured in the context of 1way and 2way coupled simulations. [Preview Abstract] 
Sunday, November 19, 2017 5:08PM  5:21PM 
E6.00002: A Hybrid PhysicsBased DataDriven Approach for PointParticle Force Modeling Chandler Moore, Georges Akiki, S. Balachandar This study improves upon the physicsbased pairwise interaction extended pointparticle (PIEP) model. The PIEP model leverages a physical framework to predict fluid mediated interactions between solid particles. While the PIEP model is a powerful tool, its pairwise assumption leads to increased error in flows with high particle volume fractions. To reduce this error, a regression algorithm is used to model the differences between the current PIEP model's predictions and the results of direct numerical simulations (DNS) for an array of monodisperse solid particles subjected to various flow conditions. The resulting statistical model and the physical PIEP model are superimposed to construct a hybrid, physicsbased datadriven PIEP model. It must be noted that the performance of a pure datadriven approach without the modelform provided by the physical PIEP model is substantially inferior. The hybrid model's predictive capabilities are analyzed using more DNS. In every case tested, the hybrid PIEP model's prediction are more accurate than those of physical PIEP model. [Preview Abstract] 
Sunday, November 19, 2017 5:21PM  5:34PM 
E6.00003: Modeling of ClusterInduced Turbulence in ParticleLaden Channel Flow Michael Baker, Jesse Capecelatro, Bo Kong, Rodney Fox, Olivier Desjardins A phenomenon often observed in gassolid flows is the formation of mesoscale clusters of particles due to the relative motion between the solid and fluid phases that is sustained through the dampening of collisional particle motion from interphase momentum coupling inside these clusters. The formation of such sustained clusters, leading to clusterinduced turbulence (CIT), can have a significant impact in industrial processes, particularly in regards to mixing, reaction progress, and heat transfer. Both EulerLagrange (EL) and EulerEuler anisotropic Gaussian (EEAG) approaches are used in this work to perform mesoscale simulations of CIT in fully developed gasparticle channel flow. The results from these simulations are applied in the development of a twophase ReynoldsAveraged NavierStokes (RANS) model to capture the wallnormal flow characteristics in a less computationally expensive manner. Parameters such as mass loading, particle size, and gas velocity are varied to examine their respective impact on cluster formation and turbulence statistics. [Preview Abstract] 
Sunday, November 19, 2017 5:34PM  5:47PM 
E6.00004: Exploring the Early Structure of a Rapidly Decompressed Particle Bed Heather Zunino, R.J. Adrian, Amanda Clarke, Blair Johnson Rapid expansion of dense, pressurized beds of fine particles subjected to rapid reduction of the external pressure is studied in a vertical shock tube. A nearsonic expansion wave impinges on the particle bedgas interface and rapidly unloads the particle bed. A highspeed video camera captures events occurring during bed expansion. The particle bed does not expand homogeneously, but breaks down into horizontal slabs and then transforms into a cellulartype structure. There are several key parameters that affect the particle bed evolution, including particle size and initial bed height. Analyses of this bed structure evolution from experiments with varying particle sizes and initial bed heights is presented. This work is supported by the U.S. Department of Energy, National Nuclear Security Administration, Advanced Simulation and Computing Program, as a Cooperative Agreement under the Predictive Science and Academic Alliance Program, under Contract No. DENA0002378. [Preview Abstract] 
Sunday, November 19, 2017 5:47PM  6:00PM 
E6.00005: Effects of Initial Particle Distribution on an Energetic Dispersal of Particles Bertrand Rollin, Frederick Ouellet, Rahul Koneru, Joshua Garno, Bradford Durant Accurate predictions of the late time solid particle cloud distribution ensuing an explosive dispersal of particles is an extremely challenging problem for compressible multiphase flow simulations. The source of this difficulty is twofold: (i) The complex sequence of events taking place. Indeed, as the blast wave crosses the surrounding layer of particles, compaction occurs shortly before particles disperse radially at high speed. Then, during the dispersion phase, complex multiphase interactions occurs between particles and detonation products. (ii) Precise characterization of the explosive and particle distribution is virtually impossible. In this numerical experiment, we focus on the sensitivity of late time particle cloud distributions relative to carefully designed initial distributions, assuming the explosive is well described. Using point particle simulations, we study the case of a bed of glass particles surrounding an explosive. Constraining our simulations to relatively low initial volume fractions to prevent reaching of the close packing limit, we seek to describe qualitatively and quantitatively the late time dependency of a solid particle cloud on its distribution before the energy release of an explosive. [Preview Abstract] 
Sunday, November 19, 2017 6:00PM  6:13PM 
E6.00006: Pairwise Interaction Extended PointParticle (PIEP) model for multiphase jets and sedimenting particles. Kai Liu, S. Balachandar We perform a series of EulerLagrange direct numerical simulations (DNS) for multiphase jets and sedimenting particles. The forces the flow exerts on the particles in these twoway coupled simulations are computed using the BassetBousinesqOseen (BBO) equations. These forces do not explicitly account for particleparticle interactions, even though such pairwise interactions induced by the perturbations from neighboring particles may be important especially when the particle volume fraction is high. Such effects have been largely unaddressed in the literature. Here, we implement the Pairwise Interaction Extended PointParticle (PIEP) model to simulate the effect of neighboring particle pairs. A simple collision model is also applied to avoid unphysical overlapping of solid spherical particles. The simulation results indicate that the PIEP model provides a more elaborative and complicated movement of the dispersed phase (droplets and particles). [Preview Abstract] 
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