Marco Mangano

Marco Mangano
University of Michigan | U-M · Department of Aerospace Engineering

Master of Science

About

5
Publications
3,308
Reads
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25
Citations
Citations since 2016
5 Research Items
25 Citations
2016201720182019202020212022024681012
2016201720182019202020212022024681012
2016201720182019202020212022024681012
2016201720182019202020212022024681012
Introduction
Ph.D. candidate at University of Michigan's Aerospace Engineering Department, researcher at Multidisciplinary Design Optimization Laboratory.
Additional affiliations
September 2019 - April 2023
University of Michigan
Position
  • PhD Student
November 2017 - December 2018
University of Michigan
Position
  • Visiting Scholar
Description
  • Master thesis project
Education
September 2015 - May 2019
Delft University of Technology
Field of study
  • Aerospace Engineering
September 2011 - November 2014
University of Padova
Field of study
  • Aerospace Engineering

Publications

Publications (5)
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
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...
Article
Full-text available
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...
Conference Paper
This conference paper has been superseded by the peer-reviewed journal article of the same name, DOI: 10.2514/1.C036216 .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

Network

Cited By

Projects

Project (1)
Project
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.