Prediction-Based Approaches for Generation of Noise-Power-Distance Data with Application to Urban Air Mobility Vehicles

Rizzi, Stephen A.; Letica, Stefan; Boyd, D. Douglas; Lopes, Leonard V.

doi:10.2514/6.2022-2839

Cited by 9 publications

(2 citation statements)

References 6 publications

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“…The application of this simplified procedure can be avoided by manually calculating the L AE performing simulated flyover at each slant distance. This is the solution used by Rizzi et al [14].…”

Section: Directivitymentioning

confidence: 99%

“…A few examples of whole air-vehicle noise models are NASA ANOPP2 [9] and the DLR (German Aerospace Center) Parametric Aircraft Noise Analysis Module (PANAM) tool [10,11]. Recent work by Rizzi et al [12][13][14][15][16] has demonstrated the entire process of computationally generating NPD curves for novel (AAM) aircraft and incorporating them into AEDT for the assessment of community noise exposure, while a similar approach is taken for novel aircraft using physics-based models (PBM) by research groups at Georgia Institute of Technology and Purdue University [17] (FAA Ascent Project 43), including work on novel supersonic aircraft.…”

Section: Introductionmentioning

confidence: 99%

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Toward Estimating Noise–Power–Distance Curves for Propeller-Powered Zero-Emission Hydrogen Aircraft

Amargianitakis,

Self,

Torija

et al. 2024

Journal of Aircraft

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As part of the UK Research and Innovation project New Aviation, Propulsion, Knowledge and Innovation Network (NAPKIN), a high-level framework was developed for the assessment of the noise impact of the proposed regional-sized hydrogen-powered aircraft. This study consists of the methodology used to generate the industry-standard noise–power–distance (NPD) curves from individual component noise analysis, specifically propeller tonal noise. The model is based on an asymptotic analysis of a frequency domain propeller tonal noise model combined with a linear approximation, taking advantage of the logarithmic nature of noise. An error analysis on the linear approximation assumption proves that the relative error between predicted and actual values of the noise remains below 10% for appropriately chosen baseline points. Verification of the framework was achieved through a bench-marking procedure that compared predictions of departure NPD curves for current technology regional aircraft against published ones over a range of operational power settings. Finally, departure and approach NPD predictions for three of the NAPKIN hydrogen concept aircraft are presented. Concepts featuring a larger, slower-rotating propeller with an increased number of blades relative to the reference aircraft showed benefits over the reference aircraft, despite, in some cases, increases in maximum takeoff weight.

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Section: Directivitymentioning

confidence: 99%