Modeling Dilute Gas–Solid Flows Using a Polykinetic Moment Method Approach

Significance Statement

A quadrature-based moment method technique, such as the conditional quadrature method of moment has the ability to solve polykinetic field by using a two-point quadrature representation of a multiphase particle velocity of particle density function where other approaches such as the Lattice Boltzmann and the multi-fluid method do not, due to use of various limiting unknowns leading to less viable results. The conditional quadrature method of moment is well-known for its ability to model non-hydrodynamic fluids at an Eulerian field-based continuum approach making it usable to characterize both Knusden number and Stokes number.

Dr.  Dennis M. Dunn and Professor Kyle D. Squires from School for Engineering of Matter at Arizona State University demonstrated that the conditional quadrature method of moment provides the capability of modeling a fully 3D Eulerian dispersed phase along with a polykinetic field that captures particle trajectory crossing in a well-bounded high Stokes number flow. The research work is published in Journals of Fluid Engineering.

The authors considered a monodisperse and isothermal flow where the complete particle density function covers the polykinetic nature of solutions. Momentum transport of the particle density function was effectively achieved with the use of quadrature assumption on the quadrature-based moment of method. It was then followed by moment inversion which converts information from moment-space to the node-space with the aid of finite volume scheme.

A second-order accurate flux scheme with piecewise linear reconstruction at the faces coupled with a superbee slope and minrod slope limiter was also used by the authors. Numerical stability improvement was achieved for conditional quadrature method of moment with comparisons using dynamic numerical simulations fluid.

For 3D turbulent channel flow test case, a dynamic numerical simulation fluid with Reynolds number of 200 and two different Stoke numbers of 0.5 and 2.5 were used. The conditional quadrature method of moment solver with assumption of one-point quadrature for particle trajectory crossing showed that large concentration of particles accumulating in an unphysical manner at the wall creating a stream-wise velocity discontinuity. This result shows the cost effectiveness of conditional quadrature method of moment when operating across wide range of volume fractions.

The Two-point quadrature when assuming a polykinetic field for visible capture of particle trajectory crossing showed characteristics of conditional quadrature method of moment particle and dynamic numerical simulations in relation to their volume fraction and mean stream-wise velocity agreeing well with previous results from discrete particle simulation experiments. It was also discovered that both particles gathered near the wall before reaching a homogenous concentration ten times their initial value.

At a threshold range of 1 < ra ≤ 1.01, a much smaller magnitude of maximum particle density compared to the single node case was formed directly at the wall. At an increased threshold ra larger than 1.05, particles predominantly reflected off the wall and began to stagnate at an unphysical manner around the zero wall-normal instead of directly at the wall. This suggest that particle trajectory crossing occurred as particles reflects and leave the wall.

When observing instantaneous near-wall particle concentrations, particle trajectory crossing was seen to be significant for a large Stokes number of 2.5. A strong correlation was also found between conditional quadrature method of moment particle volume fraction and carrier fluid stream-wise velocity.

The authors were able to achieve a reduced-cost conditional quadrature method of moment approach in predicting particle trajectory crossing in multiphase flow when compared with other simulation techniques.

The conditional quadrature method of moments described in this study was able to successfully predicts physical features such as particle trajectory crossing, particle accumulation near the channel walls, and more uniform particle velocity profiles relative to the carrier flow

Modeling Dilute Gas-Solid Flows Using a Polykinetic Moment Method . Advances in Engineering

About the author

Dennis Dunn specializes in software development for high performance computing of multiphase flows using Eulerian and Lagrangian formulations of the dispersed phases. His specific proficiencies are in polykinetic Moment Methods of particle-laden turbulent flows, and evaporation and combustion of dispersed liquid fuel droplets. His knowledge has been applied to developing numerically stable algorithms to solve the transport of probability density functions and to verify basic combustion theory in simulations against direct experimental measurements. He has also modeled sophisticated 3D geometries of gas turbines for comparisons with experimental PIV measurements. He earned his B.S. and M.S. in mechanical engineering from Arizona State University in 2008 and 2010 respectively. Dr. Dunn is a 2015 doctoral graduate also from Arizona State University and is currently completing his postdoc fellowship at the EM2C lab in the new CentraleSupélec campus near Paris, France.

About the author

Kyle Squires’ expertise encompasses computational fluid dynamics, turbulence modeling of both single-phase and multi-phase flows, and high-performance computing. Specific interests include the use of direct numerical simulation and large eddy simulation applied to particle-laden turbulent flows and the development of hybrid Reynolds-averaged and large eddy simulation techniques for high Reynolds number wall-bounded flows. Dr. Squires applies his expertise to exploration of ways to improve the aerodynamics of aircraft, ground vehicles and sports equipment. He is currently the dean of the Ira A. Fulton Schools of Engineering at Arizona State University. His degrees include a B.S. in mechanical engineering from Washington State University and M.S. and Ph.D. degrees in mechanical engineering from Stanford University. Prior to joining ASU in 1997, Squires was on the faculty of the mechanical engineering department at the University of Vermont. Previously he was a postdoctoral research associate at the Center for Turbulence Research at Stanford University.

Journal Reference

Dennis M. Dunn ,  Kyle D. Squires. Modeling Dilute Gas–Solid Flows Using a Polykinetic Moment Method Approach, Journal of Fluids Engineering 138 (2015) 041303.

School for Engineering of Matter, Transport and Energy, Arizona State University Tempe, AZ 85287-6106

 

 

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