Venue: 185 EWR
Bio: Professor Capecelatro is interested in developing large-scale simulation capabilities for prediction and design of the complex multi-physics and multiphase flows relevant to energy and the environment. To achieve this, his group develops robust and scalable numerical methods to leverage world-class supercomputing resources. His current research projects are focused on adjoint-based methods applied to turbulent combustion, modeling strongly-coupled particle-laden flows, and understanding interactions between electrostatics and turbulence in atmospheric clouds.
Prior to joining the mechanical engineering department at the University of Michigan in 2016, Dr. Capecelatro was a research scientist at the Center for Exascale Simulation of Plasma-coupled Combustion (XPACC) at the University of Illinois Urbana-Champaign. He received a B.S. in mechanical engineering from SUNY Binghamton in 2009, and two years later completed a M.S. in mechanical engineering from the University of Colorado Boulder, where he performed research in collaboration with the National Renewable Energy Laboratory on numerical modeling of fluidized bed reactors. In 2014 he received a Ph.D. from Cornell University under the guidance of Prof Olivier Desjardins, where his thesis focused on high performance computing of turbulent multiphase flows. He spent the summer following his Ph.D. as a visiting postdoc at the Institut de Mécanique des Fluides de Toulouse and École Centrale Paris focusing on fundamental and numerical studies of particle-induced turbulence.
The complex and multiscale behavior associated with turbulent flows is further complicated by the presence of a disperse phase (i.e., solid particles, liquid drops, or gaseous bubbles). Strong coupling between the disperse phase and underlying turbulence plays important roles across engineering and science. For example, liquid sprays are often used during rocket launches to suppress undesirable aeroacoustic loading on the fuselage and nearby equipment. Recent experiments have shown that water sound suppression systems might also be a viable option for jet noise reduction during take-off and landing of high-performance aircrafts. Within the energy sector, turbulent suspensions of catalytic particles are used in a variety of energy conversion technologies, yet the multiphase dynamics occurring in these reactors remain largely unknown. A key challenge in understanding and predicting turbulent multiphase flows is the fundamental importance of processes occurring on extremely small scales that ultimately influence the macroscopic behavior. This presentation will provide an overview of recent advancements in numerical modeling of particle-laden flows with several applications of ongoing research projects.