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ABE Fall Faculty Seminar Series: Dr. Sadegh Dabiri

Event Date: September 3, 2019
Hosted By: Agricultural & Biological Engineering
Time: 1:30 pm
Location: STEW 310
Contact Name: Becky Peer
Contact Phone: 41162
Contact Email: peerb@purdue.edu
Open To: Public
Priority: No
School or Program: Agricultural and Biological Engineering
College Calendar: Show
"Multiscale Modeling of Multiphase Flows"

Abstract

Multiphase flows are ubiquitous in many natural and industrial systems, such as in the agricultural, biomedical, chemical, food, pharmaceutical industries, and biological flows. Direct Numerical Simulations (DNS), where all continuum time and length scales are fully resolved, are particularly important to predict transport properties of such multiphase systems. Despite the various applications of multiphase flows and bubbly flows, there are no accurate models to predict the characteristics of these types of flows. Current models depend on many parameters that need to be adjusted in order to get accurate results and therefore lack predictive capabilities. The dynamics of these flows is influenced by the bubble/drop/particle motion and their interaction with the flow. My research group has developed a large-scale, fully resolved computational platform to tackle some of these challenges for multiphase flows in various applications including cavitation, bubbly flows in reactors and thermal management units as well as transport of compound drops and cells in microchannels. I present some of the recent findings from these studies.

Bio:

Sadegh Dabiri received his Ph.D. in Mechanical and Aerospace Engineering from University of California, Irvine in 2009 and was a Postdoctoral Associate at Massachusetts Institute of Technology. He then joined University of Notre Dame in 2011 as a Research Faculty before coming to Purdue in 2014. Dr. Dabiri's research focuses on computational fluid dynamics of multiphase flows including turbulent bubbly flow, cavitation and bubble dynamics, mixing in supercritical conditions, and transport of particles and cells in microfluidic devices.