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Recent Advances in Aeroacoustics: Methods and Technologies in Transport Electrification...
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Recent Advances in Aeroacoustics: Methods and Technologies in Transport Electrification Era

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (15 March 2022) | Viewed by 10928

Special Issue Editors

Dr. Mattia Barbarino

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Guest Editor
Head of Computational Acoustics Laboratory, Italian Aerospace Research Center (CIRA), 81043 Capua (CE), Italy
Interests: aero-vibro-acoustics; CFD; machine learning; multidisciplinary optimization
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Giovanni Bernardini

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Guest Editor
Department of Engineering, Roma Tre University, Via della Vasca Navale, 79, 00144 Roma, Italy
Interests: unsteady aerodynamics; structural dynamics; aeroelasticity; aeroacoustics; controls; multidisciplinary optimization
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Raffaele Tuccillo

E-Mail Website
Guest Editor
Department of Industrial Engineering, University of Naples “Federico II”, 80138 Naples, Italy
Interests: combustion; fuels; diesel engine; hydrogen; combustor; energy and propulsion systems; turbomachinery; unsteady flows; CFD; optimization methods
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The growing social awareness of environmental issues, related to the rapid growth of air and urban traffic, has prompted Government commissions, the scientific community, and manufacturers to devote significant resources to reducing the environmental impact of the urban and air transport systems. Electric propulsion has been recognized as one of the most promising approaches for reducing emissions, such as noise and pollutants, both in the aerospace and automotive fields. However, electrified transport configurations will bring forward novel issues. Regarding acoustic emissions, hybrid and full electric transport systems could show specific noise generation mechanisms due to their unconventional architectures, new sound sources linked to the use of the electric motors, and a different balance of the existing noise sources. Indeed, some noise sources may come to light, and some others may completely disappear.

This scenario requires innovative methods and approaches to design technological solutions for reducing aircraft noise footprints and vehicle pass-by noise, complying with increasingly stringent regulations. Although the direct and filtered Navier–Stokes equations (DNS, LES, hybrid RANS-LES) and the lattice Boltzmann methods (LBM) are the prime candidates to a deep understanding of the noise generation mechanisms, they are still computationally demanding for real-life applications. Therefore, stochastic noise sources with RANS-based methods (SNGR, RPM) and solution methods for the acoustic analogy (BEM, FEM, DGM, etc.) are still an important area of research. Furthermore, recent advances in deep learning theory are urging the development of physics-informed machine learning techniques to improve and speed up the prediction of noise generation and propagation phenomena.
Topics to be covered in this Special Issue deal with computational and experimental acoustics, data science, and machine learning of, but not limited to, urban air mobility and VTOL vehicles, aircraft with distributed electric propulsion, automotive hybrid electric vehicles, and all related technologies and sub-systems.

Dr. Mattia Barbarino
Prof. Giovanni Bernardini
Prof. Raffaele Tuccillo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Aeroacoustics
  • computational aeroacoustics (CAA)
  • Physics-informed machine learning
  • noise reduction technologies
  • urban air mobility and VTOL
  • distributed electric propulsion
  • automotive hybrid electric vehicles

Published Papers (4 papers)

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Research

13 pages, 3423 KiB  
Article
Numerical Analysis and Optimization of the Front Window Visor for Vehicle Wind Buffeting Noise Reduction Based on Zonal SAS k-ε Method
by Zhendong Yang, Longgui Liu and Zhengqi Gu
Appl. Sci. 2022, 12(14), 6906; https://doi.org/10.3390/app12146906 - 07 Jul 2022
Viewed by 1454
Abstract
Numerical investigations were conducted to determine the effectiveness of the front window visor for wind buffeting noise reduction. An unsteady flow simulation was carried out using a zonal Scale Adaptive Simulation (SAS) k-ε turbulence model. Firstly, the accuracy of the simulation method was [...] Read more.
Numerical investigations were conducted to determine the effectiveness of the front window visor for wind buffeting noise reduction. An unsteady flow simulation was carried out using a zonal Scale Adaptive Simulation (SAS) k-ε turbulence model. Firstly, the accuracy of the simulation method was validated based on a benchmark problem. The benchmark results, frequency, and sound pressure levels of feedback and resonance modes all matched well with the experimental data. The effect of the front window on the buffeting noise reduction was numerically investigated based on three different front side window openings. The analysis focused on the suppression effect of the front window visor. The results show that the front window visor changed the A-pillar vortex shedding trajectory and thus reduced the driver’s ear pressure fluctuation. On this basis, an optimization algorithm was employed to optimize the shape of the front window visor. The main design goal was to decrease the sound pressure level (SPL) values of the driver’s left ear. Simulation results showed that the monitoring point’s SPL of buffeting noise after the visor optimization was reduced by 12.6%, compared with that of the original visor. Full article
(This article belongs to the Special Issue Recent Advances in Aeroacoustics: Methods and Technologies in Transport Electrification Era)
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31 pages, 23903 KiB  
Article
Acoustic Impact of Hybrid-Electric DEP Aircraft Configuration at Airport Level
by Adolfo Sollazzo, Francesco Petrosino, Luciano De Vivo, Antonio Visingardi and Mattia Barbarino
Appl. Sci. 2021, 11(20), 9664; https://doi.org/10.3390/app11209664 - 16 Oct 2021
Cited by 1 | Viewed by 1819
Abstract
The Italian research project PROSIB (PROpulsione e Sistemi IBridi per velivoli ad ala fissa e rotante), is a 30-month initiative funded by the Italian Ministry of University and Scientific Research (MIUR) and coordinated by the Leonardo company. The project is aimed to investigate [...] Read more.
The Italian research project PROSIB (PROpulsione e Sistemi IBridi per velivoli ad ala fissa e rotante), is a 30-month initiative funded by the Italian Ministry of University and Scientific Research (MIUR) and coordinated by the Leonardo company. The project is aimed to investigate configurations for regional aircraft and rotary wing platforms and architectures for propulsion systems, and is dedicated to the identification of the best strategy for their use, given different on-board energy sources. The reduced environmental impact is the key for the success of the new hybrid/electric aircraft configurations. This not only considers the chemical pollution introduced in the atmosphere, but also the noise produced on the surrounding area of airports. The present paper describes the acoustic impact assessment resulting from the inclusion of new propulsion technologies and new configurations of regional aircraft (ATR42 pax) in a reference airport area. Full article
(This article belongs to the Special Issue Recent Advances in Aeroacoustics: Methods and Technologies in Transport Electrification Era)
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21 pages, 6297 KiB  
Article
Interior Sound Quality Prediction of Pure Electric Vehicles Based on Transfer Path Synthesis
by Kun Qian, Zhichao Hou, Jie Liang, Ruixue Liu and Dengke Sun
Appl. Sci. 2021, 11(10), 4385; https://doi.org/10.3390/app11104385 - 12 May 2021
Cited by 6 | Viewed by 3485
Abstract
The interior sound quality (SQ) of pure electric vehicles (PEVs) has become an important consideration for users purchasing vehicles. At present, it is insufficient to take the sound pressure level as the interior acoustics design index of PEVs. Transfer path analysis (TPA) and [...] Read more.
The interior sound quality (SQ) of pure electric vehicles (PEVs) has become an important consideration for users purchasing vehicles. At present, it is insufficient to take the sound pressure level as the interior acoustics design index of PEVs. Transfer path analysis (TPA) and transfer path synthesis (TPS) that take the SQ of interior noise as the improvement target remains in the preliminary exploration stage. In this paper, objective psychoacoustic parameters of SQ were taken as evaluation indexes of interior PEV noise. A virtual interior SQ synthesis model was designed on the basis of TPA and TPS, which combines experimentation and simulation. The SQ synthesis model demonstrates each noise component contribution in a PEV by new SQ separation technology. First, the interior noise transfer path and noise source of the PEV were determined in a synthesis analysis method of the interior PEV noise. Second, on the basis of the composition mechanism of interior noise and the basic principle of TPA, the excitation signal and transfer function of each interior noise path in the PEV were tested. On the basis of TPS, the interior SQ synthesis model of PEV was then established. Finally, the accuracy of the prediction model was verified in simulation and experimental comparison studies on the psychoacoustic objective parameters of SQ. The SQ objective parameter value of each transfer path was quantified by using contribution analysis. The results are expected to improve the comfort of the interior acoustic environment and enhance the competitiveness of vehicle products. They also provide an effective reference and new ideas for the development of interior SQ in PEVs. Full article
(This article belongs to the Special Issue Recent Advances in Aeroacoustics: Methods and Technologies in Transport Electrification Era)
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22 pages, 3325 KiB  
Article
Aeroacoustics Assessment of an Hybrid Aircraft Configuration with Rear-Mounted Boundary Layer Ingested Engine
by Francesco Petrosino, Mattia Barbarino and Martin Staggat
Appl. Sci. 2021, 11(7), 2936; https://doi.org/10.3390/app11072936 - 25 Mar 2021
Cited by 11 | Viewed by 3109
Abstract
Hybrid electric propulsion is a promising solution to reduce aircraft emissions, thus improving the sustainability of the air transport. In this work, a hybrid aircraft configuration with a rear-mounted boundary layer ingestion (BLI) engine has been investigated. The partial embedding of the engine [...] Read more.
Hybrid electric propulsion is a promising solution to reduce aircraft emissions, thus improving the sustainability of the air transport. In this work, a hybrid aircraft configuration with a rear-mounted boundary layer ingestion (BLI) engine has been investigated. The partial embedding of the engine into the fuselage generates a distortion of the ingested inflow causing additional tonal and broadband BLI noise sources, and, at the same time, alters the existing one, such as the rotor–stator interaction noise (RSI). This work is focused on the tonal RSI noise modeling, with and without the distortion generated by the BLI, and the far-field propagation including the acoustic masking contribution due to the engine–fuselage integration. As the main result, this work shows the contributions of BLI and the engine–aircraft integration on the RSI noise. Both effects should be properly taken into account in the early aircraft design stage for an effective noise reduction even at ground level. Full article
(This article belongs to the Special Issue Recent Advances in Aeroacoustics: Methods and Technologies in Transport Electrification Era)
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