Mahanta, T K and B, Venkatesham
(2018)
Sound Quality Evaluation of Automotive horn.
PhD thesis, Indian institute of technology Hyderabad.
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Abstract
Product Sound Quality (SQ) is one of the desire requirement in product design and
customer preferences. Several product manufacturers would like to know their
product’s SQ acceptance amongst the customers. One of the several industries which
use acoustic products is automobile industry, where automotive horns have a major
function. The horn, while being irreplaceable for safe driving has a flip side of being
a major source of noise pollution as well. Keeping this in mind, it was attempted to
understand and improve the SQ of horn without compromising on its basic
functionality and also how it could substantially decrease its contribution to noise
pollution. The research aims at proposing a new methodology to evaluate and analyze
SQ of automotive horn and its vibro-acoustic analysis.
To begin with, few automotive horn samples were recorded using Head
Measuring System (HMS-IV). This allowed capturing of sound samples in a process
similar to as it would normally occur in a human ear. Then for SQ analysis, two test
methodologies namely Subjective and Objective were developed. Subjective test
included jury based listening test while Objective method provided quantitative SQ
metrics from empirical equations. Extensively used horn models in passenger cars like
Disc and Shell horns were considered for this study. A total of twenty-two horn sound
samples are judged by thirty participants. In subjective test, three type of tests, namely
Relevant Test (RT), Semantic Differential Test (SDT), and Pair Comparison Test
(PCT) were developed and performed to evaluate horn SQ. A Graphical User Interface
(GUI) was also developed to conduct subjective test.
Sound Pressure Level (SPL), a conventional acoustic parameter, cannot
describe the sound impact or perceived SQ effectiveness. Hence, it was necessary to
study the psychoacoustic objective parameters responsible for SQ. Objective
parameters like loudness, sharpness, roughness, fluctuation strength, tonality and
index of relative sensory pleasantness were calculated for all samples. As results
obtained from both test methods were completely independent there was need to
correlate them using Principal Component Analysis (PCA). PCA was performed on
objective parameters to obtain appropriate orthogonal (principal) components. Based
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on PCA, a metric profile was computed for each sound. Transformation matrix was
calculated based on jury ratings and metrics profile. Jury rating was predicted using
transformation matrix and objective parameters. Using this method, subject responses
were predicted without performing the actual subject test. Group classification of
sound samples was done on basis of objective test using Mahalanobis distance (MD)
method and subjective test using Tukey’s method. Finally obtained results were compared. An attempt was made in this study to develop validated vibro-acoustic
prediction model for SPL radiated from the disc horn. Modal and Harmonic analysis
of the horn were performed using Finite Element Method (FEM) and Acoustic analysis using Boundary Element method (BEM). As known, automotive disc horn works on principle of Electromagnetism. It includes a movable iron core and
diaphragm with varying electromagnetic force, which was calculated and used for
Harmonic Analysis. From Numerical Modal Analysis, natural frequency and mode
shapes results were obtained and compared to experimental modal analysis for
validation. Modal Assurance Criteria (MAC) value was calculated for mode shapes
obtained from both results. An attempt to study modal parameters of a horn diaphragm
with housing, analytically, by simplifying it as circular membrane backed by cylinder
cavity was made. It was noticed that natural frequencies of the membrane were
influenced by presence of acoustic cavity. This interaction is named as structuralacoustic
coupling approach. Here too, uncoupled natural frequencies and coupled
natural frequencies obtained are compared to numerical results. A numerical model
was developed to obtain vibration responses under electromagnetic force excitations.
The actual vibrations were measured experimentally. Then, sound radiation prediction
from the horn’s diaphragm was established using BEM. SPL was measured using
microphone at 2m distance from the horn’s frontal direction. Sound pressure levels
obtained experimentally and by prediction were then compared.
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