자료유형  

 학위논문

Control Number  

0017164383

International Standard Book Number  

9798384042402

Dewey Decimal Classification Number  

629.1

Main Entry-Personal Name  

Pacini, Bernardo.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Michigan., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

206 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-03, Section: A.

General Note  

Advisor: Duraisamy, Karthik;Martins, Joaquim R. R. A.

Dissertation Note  

Thesis (Ph.D.)--University of Michigan, 2024.

Summary, Etc.  

요약Advanced air mobility is an emerging aerospace transportation sector aimed at efficient transit in urban and regional environments with a new class of aerial vehicles. These vehicles, designed specifically for urban and regional air mobility, have changed the landscape of the typical aircraft designs seen for transport applications. The novel configurations have largely come about as complex rotorcraft with sets of propellers mounted on wings and vehicle appendages. The vehicles are enabled by key advancements in electric propulsion and autonomy, and incorporate years of technical developments in aerospace related fields such as materials science, computer science, and electrical engineering. The embedded systems in these designs are tightly coupled and must be designed in unison to extract all of the potential benefits available to this new class of vehicles.Numerical optimization has been used for aerospace applications for decades, spanning aerodynamic design optimization, structural optimization, and mission and trajectory optimization. Gradient-based optimization is particularly helpful for these types of problems because gradient-free optimization scales poorly with problem size. Aerospace design optimization problems typically feature hundreds or thousands of design variables and constraints that must be jointly optimized to arrive at an optimal design. Advancements in model couplings and derivative computation have made large multidisciplinary design optimization problems possible. This work uses the OpenMDAO framework to perform efficient, gradient-based design optimization using the modular analysis and unified derivatives architecture with the unified derivatives equation. With this architecture, I apply gradient-based design optimization to a set of emerging advanced air mobility design optimization problems.This work explores aerodynamic, aeroacoustic, and aerostructural design optimization problems for emerging advanced air mobility vehicle design. I begin by showing that existing work on aerodynamic wing optimization considering propeller-wing interaction has reached a plateau where additional disciplines and models must be considered to leverage the benefit of multidisciplinary design optimization. I then expand propeller-wing aerodynamic optimization by simultaneously optimizing a wing and propeller together, showing that coupled optimization results in fundamentally different propeller designs that help decrease wing drag at the expense of propeller efficiency. Next, I investigate aeroacoustic optimization, assembling a framework for efficient, coupled aerodynamic and aeroacoustic optimization. Using this framework, we show the design trades that arise when including acoustic constraints. To incorporate structural considerations of propeller-wing vehicle optimization, I then extend conventional aerostructural optimization to include propeller effects and optimize a full vehicle configuration considering hover, cruise, and maneuver mission segments. These optimization studies are intended to provide a foundation for future work on advanced air mobility vehicle design optimization.Advanced air mobility vehicles are complex and must be carefully designed and optimized to be safe, quiet, and efficient. The work presented in this dissertation outlines studies into vehicle design optimization including aerodynamic, acoustic, and structural considerations. These studies not only improve existing propeller, wing, and full configuration designs, but highlight several advanced air mobility design optimization trends that can be used to improve the next generation of aerial vehicles. 

Subject Added Entry-Topical Term  

Aerospace engineering.

Subject Added Entry-Topical Term  

Mechanical engineering.

Subject Added Entry-Topical Term  

Transportation.

Index Term-Uncontrolled  

Aircraft design

Index Term-Uncontrolled  

Multidisciplinary design optimization

Index Term-Uncontrolled  

Aerodynamics

Index Term-Uncontrolled  

Aeroacoustics

Index Term-Uncontrolled  

Aerostructures

Index Term-Uncontrolled  

Advanced air mobility

Added Entry-Corporate Name  

University of Michigan Mechanical Engineering

Host Item Entry  

Dissertations Abstracts International. 86-03A.

Electronic Location and Access  

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Control Number  

joongbu:657064