Citation: Meloni, S.; Jawahar, H.K. A
Wavelet-Based Time-Frequency
Analysis on the Supersonic Jet Noise
Features with Chevrons. Fluids 2022,
7, 108. https://doi.org/10.3390/
fluids7030108
Academic Editor: Mehrdad
Massoudi
Received: 11 February 2022
Accepted: 11 March 2022
Published: 16 March 2022
Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations.
Copyright: © 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
fluids
Article
A Wavelet-Based Time-Frequency Analysis on the Supersonic
Jet Noise Features with Chevrons
Stefano Meloni
1,
* and Hasan Kamliya Jawahar
2
1
Department of Engineering, University of Roma Tre, 00146 Rome, Italy
2
Department of Aerospace Engineering, University of Bristol, Bristol BS8 1TR, UK; hasan.kj@bristol.ac.uk
* Correspondence: stefano.meloni@uniroma3.it
Abstract: A detailed investigation of the statistical properties of the near-field pressure fluctuations
induced by an under-expanded jet, by varying the nozzle exit shapes has been presented. Experiments
using different convergent Chevron nozzles were carried out in the anechoic chamber at the University
of Bristol to assess the importance of the Chevron shape on the near pressure field emitted by a
single stream under-expanded jet. Measurements were carried out through an axial microphone
array traversed radially to various positions for jet in an under-expanded condition at Mach number
M = 1.3. The intermittent behavior is investigated considering the standard statistical indicators and
a wavelet-based conditional approach, including the phase angle. The intermittent degree of various
features related to different scales, such as Screech tones and broadband shock associate noise were
estimated. A series of recently developed wavelet-based tools were assessed as a viable approach to
investigate the noise emitted by under-expanded jets.
Keywords: aeroacoustic; jet noise; chevron nozzles; near-field
1. Introduction
One of the key aircraft noise sources that should be taken into account during the
design of modern aircraft is the jet noise which dominates the take-off and the cruise
phase [1]. The generation of sound by a jet exiting into a fluid medium is of great interest
for several aeronautical applications and it has long been recognized by several previous
studies [2,3]. A large body of literature has clarified that the dominant noise source in the
subsonic case is the turbulent mixing nose, which is generated by the large-scale turbulence
structures/instability waves of the jet flow [4,5]. During takeoff, when a high level of thrust
is required, jet exiting flow from the engine’s nozzle is under-expanded. This could also
happen during the cruise phase due to the combined effect of low external static pressure
and required thrust to maintain the flight Mach number in maneuvers or changing the
lane [6,7]. An under-expanded jet plume is characterized by a shock cell train, which
creates a series of compression and expansion into the flow, generating a further shock-
associated noise [7–9]. This form of noise generated by non-ideally expanded supersonic
jet comprises of two components: Screech tones and Broadband Shock Associated Noise
(BBSAN). Screech tones are discrete tones that originate from an acoustic feedback loop
between the shock cell train and the nozzle lip [10]. Screech is unusual among resonance
phenomena, in that the resonance is entirely contained within the flow itself [11].
BBSAN, on the other hand, is generated from a weak interaction between downstream
propagating large scale turbulent structures and the quasi-periodic shock cells in the jet
plume. Contrary to Screech, BBSAN is present in both under and over-expanded jets. One
of the characteristics of BBSAN (unlike Screech) is that the peak frequency varies as a
function of observer position, a phenomenon observed in experimental data. The inclusion
of these noise components in the analysis is essential to solve the problem and thus provide
tolerable noise levels in the cabin to improve passenger comfort.
Fluids 2022, 7, 108. https://doi.org/10.3390/fluids7030108 https://www.mdpi.com/journal/fluids