Fast Multiphase (FluidParticle) Flow Modeling
Commonly found in nature and engineering, multiphase flows contain interacting media of different phases. Traditionally, there have been two ways to model such flows. First, the EulerianEulerian approach, in which the phases are modeled as interpenetrating continua, is computationally efficient but does not provide the discrete particle locations. Second, in the EulerianLagrangian approach, the dispersed phase is treated as individual particles interacting with a fluid continuum. However, this approach is computationally demanding, especially for flows containing a large number of particles. The current work introduces an EulerianLagrangian approach to modeling multiphase flows, in which the particles are modeled using latticebased cellular automata (CA), while the fluid is modeled as a continuum by means of computational fluid dynamics (CFD). This work examines the feasibility of the EulerianCA approach for modeling multiphase flows while achieving significant speedups in computational times. The simulation to the right shows a liddriven cavity simulation where CA particles seed a fluid from a full NavierStokes CFD solver. 

PFTL Research Assistant(s): 

Martin C. Marinack Jr.; Jeremiah N. Mpagazehe; Deepak C. Patil 
Method(s) Employed: 

Cellular Automata Modeling, Computational Fluid Dynamics (CFD) 
Rig(s) and/or Software(s) Employed: 

Mathematica, C++ 
Sponsor(s): 

NSF Graduate Research Fellowship

Sample Results:
Select PFTL References:
Marinack Jr., M.C., Mpagazehe, J.N., Higgs III, C.F., 2012, "An Eulerian, Latticebased Cellular Automata Approach for Modeling Multiphase Flows," Powder Technology, 221, pp. 4756. (Invited Paper).
Marinack Jr., M.C., Mpagazehe, J.N., Higgs III, C. F., 2010, "An Eulerian, LatticeBased Cellular Automata Approach for Modeling Multiphase Flows," 10AIChE  2010 AIChE Annual Meeting, Conference Proceedings, Salt Lake City, UT.
