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High-Fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	High-Fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers./
作者:	Toman, Usama.
面頁冊數:	1 online resource (56 pages)
附註:	Source: Masters Abstracts International, Volume: 85-03.
Contained By:	Masters Abstracts International85-03.
標題:	Computer science. -
電子資源:	click for full text (PQDT)
ISBN:	9798380155168

High-Fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers.
Toman, Usama.

High-Fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers. - 1 online resource (56 pages)

Source: Masters Abstracts International, Volume: 85-03.

Thesis (M.S.)--Iowa State University, 2023.

Includes bibliographical references

Unmanned aerial vehicles (UAVs) have gained popularity in both commercial and military applications, and their propellers play a critical role in the vehicle's performance. A more efficient propeller design can improve the UAV's overall efficiency and reduce operational costs. While computer simulations are often used to optimize propeller design, most techniques rely on low-fidelity models that may not provide accurate simulation results for detailed designs. This study presents a high-fidelity aerodynamic and aerostructural optimization framework that incorporates finite-volume computational fluid dynamics and finite-element structural dynamics solvers. Using the discrete adjoint approach and the OpenMDAO/MPhys open-source framework, we were able to handle fluid-structure interaction and its derivative computation, allowing for gradient-based optimization with a large number of design variables. The framework aims to minimize the power required for the propeller shaft while ensuring constraints related to thrust, mass, von-mises stress, and propeller geometry (e.g., thickness, volume, and curvature) are met. The optimization's design variables include the shape variables (e.g. blade cross-sectional profile) and planform variables such as span and chord. The shape-only aerodynamic, shape and planform aerodynamic, and shape and planform aerostructural optimizations all yielded power reductions of more than 10%. All the constraints were satisfied. This research offers an effective solution for designing high-performance UAV propellers that could lead to cost savings and improved efficiency.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380155168Subjects--Topical Terms:

573171
Computer science.
Subjects--Index Terms:

Computational fluid dynamicsIndex Terms--Genre/Form:

554714
Electronic books.

High-Fidelity Aerodynamic and Aerostructural Optimization of UAV Propellers.
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504 $a Includes bibliographical references
520 $a Unmanned aerial vehicles (UAVs) have gained popularity in both commercial and military applications, and their propellers play a critical role in the vehicle's performance. A more efficient propeller design can improve the UAV's overall efficiency and reduce operational costs. While computer simulations are often used to optimize propeller design, most techniques rely on low-fidelity models that may not provide accurate simulation results for detailed designs. This study presents a high-fidelity aerodynamic and aerostructural optimization framework that incorporates finite-volume computational fluid dynamics and finite-element structural dynamics solvers. Using the discrete adjoint approach and the OpenMDAO/MPhys open-source framework, we were able to handle fluid-structure interaction and its derivative computation, allowing for gradient-based optimization with a large number of design variables. The framework aims to minimize the power required for the propeller shaft while ensuring constraints related to thrust, mass, von-mises stress, and propeller geometry (e.g., thickness, volume, and curvature) are met. The optimization's design variables include the shape variables (e.g. blade cross-sectional profile) and planform variables such as span and chord. The shape-only aerodynamic, shape and planform aerodynamic, and shape and planform aerostructural optimizations all yielded power reductions of more than 10%. All the constraints were satisfied. This research offers an effective solution for designing high-performance UAV propellers that could lead to cost savings and improved efficiency.
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653 $a Unmanned aerial vehicle
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