SUBJECT: Ph.D. Dissertation Defense
   
BY: Jingshu Wu
   
TIME: Wednesday, March 17, 2010, 10:00 a.m.
   
PLACE: MRDC Building, 4211
   
TITLE: Direct Simulation of Flexible Particle Suspensions using Lattice-Boltzmann Equation with External Boundary Force
   
COMMITTEE: Dr. Cyrus K. Aidun, Chair (ME)
Dr. Ajit P. Yoganathan (BME)
Dr. Seyed M. Ghiaasiaan (ME)
Dr. Marc K. Smith (ME)
Dr. Thorsten Stoesser (CEE)
Dr. Victor Breedveld (ChBE)
 

SUMMARY

Determination of the relation between the bulk or rheological properties of a particle suspension and its microscopic structure is an old and important problem in physical science. In industrial applications, the mechanical properties of the final products are highly dpendent on the microstructural characteristics of the suspension, such as flow conditions, particle orientation, distribution and concentration. In general, the rheology of particle suspension is quite complex, and the problem becomes even more complicated if the suspending particle is deformable. Despite these difficulties, a large number of theoretical and experimental investigations have been devoted to the analysis and prediction of the rheological behavior of particle suspensions. However, among these studies there are very few investigations that focus on the role of particle deformability. This thesis demonstrates the development and application of a novel coupled method to investigate these relationships. In this method, the flow is computed on a fixed regular 'lattice' using the lattice Boltzmann method (LBM), where each solid particle, or fiber in this case, is mapped onto a Lagrangian frame moving continuously through the domain. The motion and orientation of the particle are obtained from Newtonian dynamics equations. The deformable particle is modeled by the lattice-spring model (LSM). The fiber deformation is calculated by an efficient flexible fiber model. The no-slip boundary condition at the fluid-solid interface is based on the external boundary force (EBF) method. Simulation results are verified with known experimental measurements and theoretical results. It is hoped that future researchers may benefit from this new method and the algorithms developed here.