Behdad Davoudi

Behdad Davoudi
University of Michigan | U-M · Department of Aerospace Engineering

PhD

About

12
Publications
4,501
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77
Citations
Citations since 2017
8 Research Items
71 Citations
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Introduction
I am currently a contributor to two major projects at the University of Michigan a) NASA's Safe Autonomous Systems Operations program, and b) NSF-Industry consortium on Small Unmanned Air Vehicles: Modeling of aircraft aeromechanics, detailed and reduced order modeling of the wind field and the development of control systems for fixed wing and quad copter UAVs, Developing an unsteady aerodynamic model for UAV applications based on vortex methods and theoretical aerodynamics, Conducting CFD simulations for wing-vortex/propeller interaction phenomenon. Also, I've been working on aerodynamics and aeroacoustics characteristics of axial fans as a former member of the Ultra High Efficiency Quiet Fan Consortium.

Publications

Publications (12)
Article
Determination of the aeroacoustic emission from an axial fan in a non-anechoic environment is a challenging experimental task given ambient noise and acoustic reflections from surrounding objects. Successful strategies to address this task for a representative nine and three blade fan are presented. An array consisting of ten microphones was constr...
Article
Full-text available
Aeroacoustic and hot-wire wake measurements have been made for rotating controlled diffusion blades configured as a three- and as a nine-blade axial fan. For each rotor, six different operating conditions (cases 1 to 6), ranging from very low pressure rise to blade stall and radial pumping, have been investigated. The experimental results include t...
Article
Full-text available
The interaction of trailing vortices with lifting surfaces is investigated using two levels of modeling fidelity. An overset mesh-based Reynolds-averaged Navier–Stokes solver is considered as the high-fidelity computational model. A lower-fidelity model is developed by combining a vortex panel method with a propeller aerodynamic model and slipstrea...
Preprint
Full-text available
In trajectory planning and control design for unmanned air vehicles, highly simplified models are typically used to represent the vehicle dynamics and the operating environment. The goal of this work is to perform real-time, but realistic flight simulations and trajectory planning for quad-copters in low altitude (<500m) atmospheric conditions. The...
Preprint
Full-text available
Rotary wing unmanned aerial vehicles are being relied upon for increasingly versatile missions that involve a wide range of flight regimes. Efficient predictive models that are reliable across diverse flight regimes have remained elusive, but are especially critical for applications such as trajectory planning and autonomous operations. This work p...
Conference Paper
Full-text available
Urban air mobility vehicles have taken form as advanced rotorcraft with sets of wings, rotors, canards, and other appendages. Noise generation is an important technical barrier that must be addressed to prevent these vehicles from causing excessive disturbance to the communities they are intended to service. There is a need for efficient and low-fi...
Article
Full-text available
In trajectory planning and control design for unmanned air vehicles, highly simplified models are typically used to represent the vehicle dynamics and the operating environment. The goal of this work is to perform real-time, but realistic, flight simulations and trajectory planning for quad-copters in low-altitude (<500 m) atmospheric conditions. T...
Preprint
Full-text available
A semi-empirical acoustic model for self-noise was adapted to predict the sound radiated from an axial fan featuring rotating controlled diffusion blades (RCDB). Experimental data for wake velocity, mass flow rate across the fan, and fan rotational speed were obtained. These experimental data along with typical characteristics of turbulent boundary...

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Projects

Projects (3)
Project
The purpose of the center is to investigate and develop new algorithms, architectures, and operational procedures for unmanned aircraft systems. The center will contribute to the advancement of the UAS community through cutting-edge, industrially-relevant research at the center’s universities. Five main thrusts have been identified for research within C-UAS • Advanced autonomous capabilities for UAS • UAS-based communication networks • Multi-agent cooperative control of UAS • Human interfaces for UAS • UAS integration into the National Airspace System