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...

Full description

Saved in:
Bibliographic Details
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:
Online Access:http://umpir.ump.edu.my/id/eprint/23278/1/8_Al-Dhahebi%20et%20al.pdf
http://umpir.ump.edu.my/id/eprint/23278/
https://doi.org/10.15282/ijame.14.4.2017.8.0369
https://doi.org/10.15282/ijame.14.4.2017.8.0369
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.ump.umpir.23278
record_format eprints
spelling my.ump.umpir.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
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
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/23278/1/8_Al-Dhahebi%20et%20al.pdf
http://umpir.ump.edu.my/id/eprint/23278/
https://doi.org/10.15282/ijame.14.4.2017.8.0369
https://doi.org/10.15282/ijame.14.4.2017.8.0369
_version_ 1643669561152634880
score 13.211869