A computational approach for optimizing vehicles’ interior noise and vibration

This paper proposes a Genetic Algorithm (GA) to optimise vehicles’ interior noise and vibration caused by powertrain, tire-road surface interaction and type of car. Toward this end, an experimental design was carried out to obtain the noise and vibration data of three local compact-sized cars at st...

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Main Authors:	Al-Dhahebi, Adel Mohammed, Ahmad Kadri, Junoh, Zamri, Mohamed, Wan Zuki Azman, Wan Muhamad
Format:	Article
Language:	English
Published:	Universiti Malaysia Pahang 2017
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://umpir.ump.edu.my/id/eprint/23278/ http://umpir.ump.edu.my/id/eprint/23278/ http://umpir.ump.edu.my/id/eprint/23278/ http://umpir.ump.edu.my/id/eprint/23278/1/8_Al-Dhahebi%20et%20al.pdf

id	ump-23278
recordtype	eprints
spelling	ump-232782019-02-25T04:27:46Z http://umpir.ump.edu.my/id/eprint/23278/ A computational approach for optimizing vehicles’ interior noise and vibration Al-Dhahebi, Adel Mohammed Ahmad Kadri, Junoh Zamri, Mohamed Wan Zuki Azman, Wan Muhamad TJ Mechanical engineering and machinery This paper proposes a Genetic Algorithm (GA) to optimise vehicles’ interior noise and vibration caused by powertrain, tire-road surface interaction and type of car. Toward this end, an experimental design was carried out to obtain the noise and vibration data of three local compact-sized cars at stationary and running conditions and varying engine speeds. The acquired data were analysed to obtain sound quality parameters such as loudness and sharpness, sound pressure level and vibration exposures in the interior cabin. Besides that, a K-means clustering algorithm was utilised to cluster the noise and vibration to determine the comfort level in the vehicle’s interior cabin. The overall findings indicate that the comfort level is influenced by the types of road surface, powertrain and vehicle design. The results also indicate that the proposed GA approach is reliable and can be utilised by automotive researchers to identify the optimal Noise, Vibration and Harshness (NVH) values for vehicle refinement and noise control. Universiti Malaysia Pahang 2017-12-31 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23278/1/8_Al-Dhahebi%20et%20al.pdf Al-Dhahebi, Adel Mohammed and Ahmad Kadri, Junoh and Zamri, Mohamed and Wan Zuki Azman, Wan Muhamad (2017) A computational approach for optimizing vehicles’ interior noise and vibration. International Journal of Automotive and Mechanical Engineering (IJAME), 44 (4). pp. 4690-4703. ISSN 1985-9325(Print); 2180-1606 (Online) https://doi.org/10.15282/ijame.14.4.2017.8.0369 https://doi.org/10.15282/ijame.14.4.2017.8.0369
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Al-Dhahebi, Adel Mohammed Ahmad Kadri, Junoh Zamri, Mohamed Wan Zuki Azman, Wan Muhamad A computational approach for optimizing vehicles’ interior noise and vibration
description	This paper proposes a Genetic Algorithm (GA) to optimise vehicles’ interior noise and vibration caused by powertrain, tire-road surface interaction and type of car. Toward this end, an experimental design was carried out to obtain the noise and vibration data of three local compact-sized cars at stationary and running conditions and varying engine speeds. The acquired data were analysed to obtain sound quality parameters such as loudness and sharpness, sound pressure level and vibration exposures in the interior cabin. Besides that, a K-means clustering algorithm was utilised to cluster the noise and vibration to determine the comfort level in the vehicle’s interior cabin. The overall findings indicate that the comfort level is influenced by the types of road surface, powertrain and vehicle design. The results also indicate that the proposed GA approach is reliable and can be utilised by automotive researchers to identify the optimal Noise, Vibration and Harshness (NVH) values for vehicle refinement and noise control.
format	Article
author	Al-Dhahebi, Adel Mohammed Ahmad Kadri, Junoh Zamri, Mohamed Wan Zuki Azman, Wan Muhamad
author_facet	Al-Dhahebi, Adel Mohammed Ahmad Kadri, Junoh Zamri, Mohamed Wan Zuki Azman, Wan Muhamad
author_sort	Al-Dhahebi, Adel Mohammed
title	A computational approach for optimizing vehicles’ interior noise and vibration
title_short	A computational approach for optimizing vehicles’ interior noise and vibration
title_full	A computational approach for optimizing vehicles’ interior noise and vibration
title_fullStr	A computational approach for optimizing vehicles’ interior noise and vibration
title_full_unstemmed	A computational approach for optimizing vehicles’ interior noise and vibration
title_sort	computational approach for optimizing vehicles’ interior noise and vibration
publisher	Universiti Malaysia Pahang
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/23278/ http://umpir.ump.edu.my/id/eprint/23278/ http://umpir.ump.edu.my/id/eprint/23278/ http://umpir.ump.edu.my/id/eprint/23278/1/8_Al-Dhahebi%20et%20al.pdf
first_indexed	2023-09-18T22:34:47Z
last_indexed	2023-09-18T22:34:47Z
_version_	1777416522833068032

A computational approach for optimizing vehicles’ interior noise and vibration

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