Modeling Particle Segregation in Dense Granular Flows

- Sponsor
- Water Resources Engineering and Science - CEE
- Speaker
- Richard Lueptow - Senior Associate Dean - McCormick School of Engineering and Applied Science - Professor - Mechanical Engineering and Chemical and Biological Engineering - Northwestern University
- Contact
- Jennifer Bishop
- jbishop4@illinois.edu
- Originating Calendar
- Water Resources Engineering and Science Seminars
Abstract
In dense granular flows of particles differing in size, small particles fall between large particles to segregate in lower portions of the flow thereby displacing large particles upward, a process known as “percolation.” Similarly, light particles rise above heavy particles as they flow due to “buoyancy.” The resulting segregation due to percolation or buoyancy depends on the differences between the particles and flow conditions. We address granular segregation in two ways. The first approach is a continuum segregation model based on the advection-diffusion equation with a term added to account for particle segregation. This model can accurately predict mixing and segregation in both steady and transient flows for a variety of flow geometries and for a range of particle systems including multiple individual particle sizes, polydisperse (continuous) particle size distributions, mixtures of particles varying in both size and density, and non-spherical particles. The model can even be used to “design” combinations of particle size, density, and concentration that result in non-segregating bidisperse particle mixtures. The second approach is to characterize the particle level forces via discrete element method simulations, which provides the ability to predict whether an intruder particle will rise or sink. These single intruder results have recently been extended to cooperative segregation phenomena in particle mixtures. Most recently, we have connected segregation parameters in the continuum segregation model to particle level forces as well as to extend the segregation model to particle systems with a wide range of particle sizes. The results of this research have been applied to powder and particle processing in the pharmaceutical, chemical, food products, mining, and agricultural industries as well as geophysical situations such as landslides. Funded by The Dow Chemical Company, the Procter & Gamble Company, and the National Science Foundation (CMMI-1435065, CBET-1511450, CBET-1929265).Bio
Richard M. Lueptow is Senior Associate Dean at the McCormick School of Engineering and Applied Science, Co-Founder of the Master of Product Design and Development Program, Professor of Mechanical Engineering and Chemical & Biological Engineering (courtesy), and former Charles Deering McCormick Professor of Teaching Excellence at Northwestern University. He received his BS in engineering from Michigan Technological University and his master’s degree and doctorate in mechanical engineering from the Massachusetts Institute of Technology. He has five years of product development experience in the biomedical industry and over three decades of academic experience on the faculty at Northwestern University. His research interests and expertise range from fundamental flow physics to water purification to pattern formation. His current research focuses on granular dynamics and membrane filtration. He has published over 200 journal papers, received numerous teaching and research awards, and is a Fellow of the American Institute of Chemical Engineers, the American Physical Society, and the American Society of Mechanical Engineers.