Transient Thrust Analysis of Rigid Rotors in Forward Flight

Krebs, Travis; Bramesfeld, Goetz; Cole, Julia A.

doi:10.3390/aerospace9010028

Cited by 7 publications

(2 citation statements)

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“…κ is a coefficient accounting for non ideality losses which can be assumed equal to 1.15 [43]. Ct expression can be found in [42] for angular velocities of the blades expressed in RPM, using Ω in rad/s Ct is [44]:…”

Section: ) Planner Segment Informationmentioning

confidence: 99%

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Multiobjective Modular Strategic Planning Framework for Low-Altitude Missions Within the Urban Air Mobility Ecosystem

Causa,

Fasano

2024

IEEE Trans. Aerosp. Electron. Syst.

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This paper introduces a multi-metric multiconstraint strategic path planning framework applicable to unstructured urban airspace. The planner is based on a modular and scalable approach to handle several information sources and aspects characterizing urban flight scenarios, such as risk and weather maps, landing site locations, navigation requirements, and mobile and fixed obstacle characteristics. This information is coupled with dynamic constraints and UAV specifications to derive a flyable and safe path connecting a start position and a destination. Strategies for data gathering and synthesis, used to keep a reduced computational burden, are described along with the path planner algorithm. The latter consists in three steps specifically developed to handle both static and time-varying information. A multi-objective cost function with variable weighting coefficients has been implemented so that the most relevant factors for the considered applications can be selected in an adaptive fashion. The performance of the developed algorithms is tested by investigating the planner behavior when changing its inputs as well as the cost function weighting coefficients, demonstrating the ability of the planner in returning an efficient and safe trajectory.

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Section: ) Planner Segment Informationmentioning

confidence: 99%

“…The interested reader is referred to [42]. Rotational velocity of the blades can be obtained by Ti using [44]:…”

Section: ) Planner Segment Informationmentioning

confidence: 99%

Multiobjective Modular Strategic Planning Framework for Low-Altitude Missions Within the Urban Air Mobility Ecosystem

Causa,

Fasano

2024

IEEE Trans. Aerosp. Electron. Syst.

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Experimental investigation of UAV rotor aeroacoustics and aerodynamics with computational cross-validation

Kostek,

Lößle,

Wickersheim

et al. 2023

CEAS Aeronaut J

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The study provided a base of comparison of known computational techniques with different fidelity levels for performance and noise prediction of a single, fixed-pitch UAV rotor operating with varying flight parameters. The range of aerodynamic tools included blade element theory, potential flow methods (UPM, RAMSYS), lifting-line method (PUMA) and Navier–Stokes solver (FLOWer). Obtained loading distributions served as input for aeroacoustic codes delivering noise estimation for the blade passing frequency on a plane below the rotor. The resulting forces and noise levels showed satisfactory agreement with experimental data; however, differences in accuracy could be noticed depending on the computational method applied. The wake influence on the results was estimated based on vortex trajectories from simulations and those visible in background-oriented schlieren (BOS) pictures. The analysis of scattering effects showed that influence of ground and rotor platform on aeroacoustic results was observable even for low frequencies.

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