Siying Liu

Connecting Segregation to Theology for Inherently Scalable Model Development
Segregation can lead to significant handling problems, to product non-uniformity issues and even the loss of complete batches of material, resulting in significant financial loss for a variety of industries. Thus, one could argue that segregation is one of the most important factors in industrial processing of granular materials. There has been a tremendous focus in recent years on granular segregation problems and much has been learned about the mechanisms driving those phenomena. Segregation model development holds promise for translation of academic research into industrial practice; however, typical segregation models are not inherently built with scale-up in mind. By exploring a novel view of the interplay between granular rheology and segregation, we have introduced a new way of structuring segregation rate models that make them inherently more scalable, while at the same time lending insight into the particle-scale interactions that lead to segregation. This novel class of model is built with scalability in mind, thus they are applicable over a wide range of operating conditions and are ripe for translation into device-focused transport equations. In this talk, we will outline recent developments in segregation modeling, granular rheology, and the interplay between the two. Specifically, we will explore segregation induced by differences in particle density, size, and shape, as well as the impact of cohesion on segregation rates. Our results suggest, under certain conditions, one can prescribe (or design) industrial operating conditions that will lead to dramatically lower segregation extents.

Bio Sketch:

Siying Liu joined Vertex in 2019. She received her B.S. from University of Virginia and Ph.D. from University of Pittsburgh advised by Dr. Joseph McCarthy, both majored in chemical engineering. Dr. Liu has experience in various areas of formulation and product development, including process development, process validation, process scale-up, and continuous manufacture. She has strong technical expertise in particle segregation and computational modeling (i.e. DEM and gPROMs). She has presented in multiple conferences related to particle segregations, include AIChE, APS, and IFPRI, and has published multiple papers in the area. She is a member of the American Institute of Chemical Engineers (AIChE).