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Teaching

Quadrature-based moment methods for polydisperse multiphase flows By Dr. Alberto Passalacqua (Iowa State University)

  • Class schedule: Wednesday,14th Jan., 2015, 9:00 - 10:00 am
  • Location: Building 1, Room 4214
  • Refreshments: Available at 08:45 am​

Abstract
Quadrature-based moment methods (QBMM) have been historically applied to the solution of population balance problems in the aerosol and engineering community (Marchisio et al., 2003; McGraw, 1997). The QBMM framework, however, represents a versatile tool to tackle complex problems such as the description of multiphase flows as demonstrated in recent work (Chalons et al., 2010; Desjardins et al., 2008; Fox, 2008; Passalacqua et al., 2010; Passalacqua and Fox, 2011), by providing an approximate solution of the generalized population balance equation (GPBE). In this context, QBMM provide a consistent framework to address some of the limitations of traditional continuum models for multiphase flows, such as the capability of predicting particle-trajectory crossing (Passalacqua and Fox, 2011), and allowing the solution of population balance equations in multiphase flows without restrictive assumptions on the size-conditioned velocity of the disperse phase. The extended-quadrature method of moments (Yuan et al., 2012) also allows a continuous density function to be reconstructed from the set of transported moments, improving the integration accuracy of the GPBE. We examine the general framework of QBMM for the solution of the GPBE, discuss their implementation into codes for computational fluid dynamics, and illustrate example applications to population balances involving non-inertial particles (i.e. nanoparticles), gas-liquid flows (Yuan et al., 2014) and gas-particle flows (Passalacqua et al., 2010; Passalacqua and Fox, 2013, 2011).

Biography
Alberto Passalacqua obtained his M.S. and Ph.D. (2008) in Chemical Engineering at Politecnico di Torino, Italy. He joined the department of Mechanical Engineering at Iowa State University in 2012. He received the American Chemical Society – Petroleum Research Fund – Doctoral New Investigator award in 2013. The National Science Foundation, the US Department of Energy, and the American Chemical Society currently fund his research. Interests include multiphase flows, turbulent flows, computational fluid dynamics, uncertainty quantification and open-source scientific software.