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• W2896543609 abstract "Product Sound Quality (SQ) is one of the desire requirement in product design andcustomer preferences. Several product manufacturers would like to know theirproduct’s SQ acceptance amongst the customers. One of the several industries whichuse acoustic products is automobile industry, where automotive horns have a majorfunction. The horn, while being irreplaceable for safe driving has a flip side of beinga major source of noise pollution as well. Keeping this in mind, it was attempted tounderstand and improve the SQ of horn without compromising on its basicfunctionality and also how it could substantially decrease its contribution to noisepollution. The research aims at proposing a new methodology to evaluate and analyzeSQ of automotive horn and its vibro-acoustic analysis.To begin with, few automotive horn samples were recorded using HeadMeasuring System (HMS-IV). This allowed capturing of sound samples in a processsimilar to as it would normally occur in a human ear. Then for SQ analysis, two testmethodologies namely Subjective and Objective were developed. Subjective testincluded jury based listening test while Objective method provided quantitative SQmetrics from empirical equations. Extensively used horn models in passenger cars likeDisc and Shell horns were considered for this study. A total of twenty-two horn soundsamples are judged by thirty participants. In subjective test, three type of tests, namelyRelevant 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, cannotdescribe the sound impact or perceived SQ effectiveness. Hence, it was necessary tostudy the psychoacoustic objective parameters responsible for SQ. Objectiveparameters like loudness, sharpness, roughness, fluctuation strength, tonality andindex of relative sensory pleasantness were calculated for all samples. As resultsobtained from both test methods were completely independent there was need tocorrelate them using Principal Component Analysis (PCA). PCA was performed onobjective parameters to obtain appropriate orthogonal (principal) components. Based viion PCA, a metric profile was computed for each sound. Transformation matrix wascalculated based on jury ratings and metrics profile. Jury rating was predicted usingtransformation matrix and objective parameters. Using this method, subject responseswere predicted without performing the actual subject test. Group classification ofsound 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-acousticprediction model for SPL radiated from the disc horn. Modal and Harmonic analysisof 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 anddiaphragm with varying electromagnetic force, which was calculated and used forHarmonic Analysis. From Numerical Modal Analysis, natural frequency and modeshapes results were obtained and compared to experimental modal analysis forvalidation. Modal Assurance Criteria (MAC) value was calculated for mode shapesobtained from both results. An attempt to study modal parameters of a horn diaphragmwith housing, analytically, by simplifying it as circular membrane backed by cylindercavity was made. It was noticed that natural frequencies of the membrane wereinfluenced by presence of acoustic cavity. This interaction is named as structuralacousticcoupling approach. Here too, uncoupled natural frequencies and couplednatural frequencies obtained are compared to numerical results. A numerical modelwas developed to obtain vibration responses under electromagnetic force excitations.The actual vibrations were measured experimentally. Then, sound radiation predictionfrom the horn’s diaphragm was established using BEM. SPL was measured usingmicrophone at 2m distance from the horn’s frontal direction. Sound pressure levelsobtained experimentally and by prediction were then compared." @default.
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• W2896543609 date "2018-01-01" @default.
• W2896543609 modified "2023-09-24" @default.
• W2896543609 title "Sound Quality Evaluation of Automotive horn" @default.
• W2896543609 hasPublicationYear "2018" @default.
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