Matt Lauer is a Ph.D. student in the Department of Aerospace Engineering under Dr. Phillip Ansell at the University of Illinois Urbana-Champaign. Matt's research has focused on leveraging aerodynamic and aeropropulsive benefits enabled by hydrogen-electric aircraft configurations, in particular on NASA's Center for High-Efficiency Electrical Technologies for Aircraft (CHEETA). His research interests include applied aerodynamics, configuration aerodynamics, multi-disciplinary optimization (MDO), geometric parametrization methods, and aerodynamic tool development.
To leverage the full aerodynamic benefit of propulsion integration, a coupled aerodynamics-propulsion system optimization can be performed. In this study, both the aerodynamic drag and the mechanical flow power were used as performance characteristics to be minimized. See [2] for the original approach to this problem. A Journal of Aircraft article is in progress!
To facilitate fast changes to geometric parametrizations of multi-element airfoil systems, pymead was created. This tool allows for direct interaction with Bézier control points that define the airfoil systems. Equations can be added to create inter- and intra-airfoil constraints, and these equations are linked dynamically in the GUI to the airfoil visualizer. This tool also has built-in support for both XFOIL and MSES, with aerodynamic analyses able to be run with just a couple clicks or a keyboard shortcut. A genetic-algorithm-based optimization scheme is another feature in pymead that allows for design improvements with no intermediate user action required.