Design optimization of the interior vehicle noise and vibration through computational approaches

Master of Science in Engineering Mathematics

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Bibliographic Details
Main Author: Adel Mohammed Mohammed, Al-Dhahedi
Other Authors: Ahmad Kadri, Junoh, Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78356
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spelling my.unimap-783562023-04-17T07:42:47Z Design optimization of the interior vehicle noise and vibration through computational approaches Adel Mohammed Mohammed, Al-Dhahedi Ahmad Kadri, Junoh, Dr. Transportation noise Noise control Noise Vehicle design Vibration Master of Science in Engineering Mathematics Noise and vibration performance is an indispensable criterion in vehicle design and validation processes since it significantly affects the marketing image of automotive vehicles. The primary goal of this study is to assess and optimize the acoustic and vibration levels in the interior vehicle cabin. The study demonstrated experimental design to acquire sound and vibration signals using three local compact Perodua cars namely Axia, Myvi and Viva on idle (stationary) and non-stationary (highway, pavement and urban) driving conditions. The measured sounds and vibrations are analyzed to obtain the sound quality and vibration exposure levels in the interior cabin. Apart from this, the study presents a formulation of Noise Isolation Index (NII) based on categorizing the trends of sound quality into interior and exterior noises. The NII is developed, compared and validated for the three tested cars and the results showed that Axia has the highest comfort and thus optimal isolation criterion toward the exterior noises. Besides conducting clustering to compare the interior comfort of Axia, Myvi and Viva, this study developed Genetic Algorithm to further optimize the noise and vibration in the interior vehicle cabin. The results of GA model revealed that the interior noise is influenced by vibration exposure values in the interior vehicle cabin. Overall findings of this study indicate that the comfort level is factually influenced by factors including type of road surface, engine transmissions and vehicle design characteristics. 2017 2023-04-17T07:42:47Z 2023-04-17T07:42:47Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78356 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) Institute of Engineering Mathematics
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Transportation noise
Noise control
Noise
Vehicle design
Vibration
spellingShingle Transportation noise
Noise control
Noise
Vehicle design
Vibration
Adel Mohammed Mohammed, Al-Dhahedi
Design optimization of the interior vehicle noise and vibration through computational approaches
description Master of Science in Engineering Mathematics
author2 Ahmad Kadri, Junoh, Dr.
author_facet Ahmad Kadri, Junoh, Dr.
Adel Mohammed Mohammed, Al-Dhahedi
format Thesis
author Adel Mohammed Mohammed, Al-Dhahedi
author_sort Adel Mohammed Mohammed, Al-Dhahedi
title Design optimization of the interior vehicle noise and vibration through computational approaches
title_short Design optimization of the interior vehicle noise and vibration through computational approaches
title_full Design optimization of the interior vehicle noise and vibration through computational approaches
title_fullStr Design optimization of the interior vehicle noise and vibration through computational approaches
title_full_unstemmed Design optimization of the interior vehicle noise and vibration through computational approaches
title_sort design optimization of the interior vehicle noise and vibration through computational approaches
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/78356
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score 13.160551