scholarly journals High-Lift Propeller Noise Prediction for a Distributed Electric Propulsion Flight Demonstrator

2017 ◽  
Author(s):  
Douglas M. Nark ◽  
William T. Jones ◽  
Pieter G. Buning ◽  
Joseph M. Derlaga
Keyword(s):  
Electric Propulsion ◽  
Noise Prediction ◽  
High Lift ◽  
Propeller Noise

scholarly journals Aeroelastic Stability Analysis of Electric Aircraft Wings with Distributed Electric Propulsors

Aerospace ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 100
Author(s):  
Mohammadreza Amoozgar ◽  
Michael I. Friswell ◽  
Seyed Ahmad Fazelzadeh ◽  
Hamed Haddad Khodaparast ◽  
Abbas Mazidi ◽  
...  
Keyword(s):  
Angular Momentum ◽  
Electric Propulsion ◽  
Aeroelastic Stability ◽  
Concentrated Mass ◽  
High Lift ◽  
Aircraft Wings ◽  
Time Space ◽  
Beam Equations ◽  
Geometrically Exact Beam ◽  
Electric Aircraft

In this paper, the effect of distributed electric propulsion on the aeroelastic stability of an electric aircraft wing was investigated. All the electric propulsors, which are of different properties, are attached to the wing of the aircraft in different positions. The wing structural dynamics was modelled by using geometrically exact beam equations, while the aerodynamic loads were simulated by using an unsteady aerodynamic theory. The electric propulsors were modelled by using a concentrated mass attached to the wing, and the motor’s thrust and angular momentum were taken into account. The thrust of each propulsor was modelled as a follower force acting exactly at the centre of gravity of the propulsor. The nonlinear aeroelastic governing equations were discretised using a time–space scheme, and the obtained results were verified against available results and very good agreement was observed. Two case studies were considered throughout the paper, resembling two flight conditions of the electric aircraft. The numerical results show that the tip propulsor thrust, mass, and angular momentum had the most impact on the aeroelastic stability of the wing. In addition, it was observed that the high-lift motors had a minimal effect on the aeroelastic stability of the wing.

Component-Based Empirical Model for High-Lift System Noise Prediction

2003 ◽  
Vol 40 (5) ◽  
pp. 914-922 ◽  
Author(s):  
Y. P. Guo ◽  
K. J. Yamamoto ◽  
R. W. Stoker
Keyword(s):  
Empirical Model ◽  
Noise Prediction ◽  
High Lift ◽  
System Noise

scholarly journals Annoyance to Noise Produced by a Distributed Electric Propulsion High-Lift System

2017 ◽  
Author(s):  
Stephen A. Rizzi ◽  
Daniel L. Palumbo ◽  
Jonathan Rathsam ◽  
Andrew W. Christian ◽  
Menachem Rafaelof
Keyword(s):  
Electric Propulsion ◽  
High Lift

Unsettled Topics Concerning Flying Cars for Urban Air Mobility

2021 ◽  
Author(s):  
Yangjun Zhang ◽  
Keyword(s):  
Electric Propulsion ◽  
Innovation System ◽  
Development Trend ◽  
Urban Air ◽  
High Lift ◽  
History Of ◽  
New Type ◽  
Vehicle Technology ◽  
Drag Ratio ◽  
Lift To Drag Ratio

Flying cars—as a new type of vehicle for urban air mobility (UAM)—have become an important development trend for the transborder integration of automotive and aeronautical technologies and industries. This article introduces the 100-year history of flying cars, examines the current research status for UAM air buses and air taxis, and discusses the future development trend of intelligent transportation and air-to-land amphibious vehicles. Unsettled Topics Concerning Flying Cars for Urban Air Mobility identifies the major bottlenecks and impediments confronting the development of flying cars, such as high power density electric propulsion, high lift-to-drag ratio and lightweight body structures, and low-altitude intelligent flight. Furthermore, it proposes three phased goals and visions for the development of flying cars in China, suggesting the development of a flying vehicle technology innovation system that integrates automotive and aeronautic industries.

Component-Based Empirical Model for High-Lift System Noise Prediction

10.2514/1.926 ◽  
2003 ◽  
Vol 40 (5) ◽  
Author(s):  
Yueping Guo ◽  
Kingo J. Yamamoto ◽  
Rob W. Stoker
Keyword(s):  
Empirical Model ◽  
Noise Prediction ◽  
High Lift ◽  
System Noise
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