Multi-phase/reacting flows, Combustion, Computational Fluid Dynamics (CFD), Lagrangian-Eulerian methods, Verification, validation, uncertainty quantification (VVUQ), Machine learning, Internal combustion engines, Energy conversion devices
Multi-phase, reacting flows; Combustion; Computational Fluid Dynamics; CFD; Lagrangian-Eulerian methods; Verification, validation, uncertainty quantification; VVUQ; Machine learning; Internal combustion engines; Energy conversion devices
Dr. Van Dam's major research interest is in high-fidelity modeling of multiphase and reacting flows, and verification, validation and uncertainty quantification techniques for computational fluid dynamics models of complex flows. Applications of interest include internal combustion engines, gas turbines and aerospace propulsion, energy generation, and chemical and manufacturing processes. Past projects have including modeling cyclic variability in IC engines and fuel sprays, and quantifying the effects of alternative fuel properties on engine performance.
Noah Van Dam joined the Mechanical Engineering department at the University of Massachusetts Lowell in the Fall of 2018. He received his Ph.D. from the University of Wisconsin-Madison in 2015, after which he joined Argonne National Laboratory as a postdoc in the Energy Systems division. His research focuses on modeling and simulation of multi-phase, reacting flows for applications including internal combustion engines, gas turbines and aerospace propulsion, and chemical and manufacturing processes.