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Citations since 2016
5 Research Items
Ph.D. candidate at University of Michigan's Aerospace Engineering Department, researcher at Multidisciplinary Design Optimization Laboratory.
The decarbonization of the electric grid is a fundamental technological and socio-economical challenge to address the looming threat of climate change. The reduction of the levelized cost of energy is a critical step to expand the application of carbon-free technologies that rely on high-potential, renewable energy sources such as wind power. Advan...
View Video Presentation: https://doi.org/10.2514/6.2022-1290.vid As demand grows for wind turbines with larger blades, the design of future wind turbines must account for multi-physical interactions and an ever-increasing number of design load conditions. One aspect, aerostructural coupling, calls for design tools that are both accurate and computa...
The second-generation of supersonic civil transport has to match ambitious targets in terms of efficiency to be economically and environmentally viable. CFD-based design optimization offers a powerful approach to address the complex tradeoffs intrinsic to this novel configuration. We apply this approach to the design of airfoils and wings at both s...
This conference paper has been superseded by the peer-reviewed journal article of the same name, DOI: 10.2514/1.C036216 . A preprint of the new reference paper is available at: https://www.researchgate.net/publication/344177125_Multipoint_Aerodynamic_Shape_Optimization_for_Subsonic_and_Supersonic_Regimes
Performing airfoil and wing aerodynamic shape optimization for supersonic and subsonic regimes using University of Michigan's MACH framework. We use a gradient-based optimizer coupled with an efficient RANS-based CFD tool and adjoint solver to capture the trade-offs for drag minimization at different flight conditions.