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 sta...
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ump-218162018-09-20T07:24:20Z http://umpir.ump.edu.my/id/eprint/21816/ A computational approach for optimizing vehicles' interior noise and vibration Adel Mohammed, Al-Dhahebi 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 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/21816/1/A%20computational%20approach%20for%20optimizing%20vehicles%E2%80%99%20interior%20noise%20and%20vibration.pdf Adel Mohammed, Al-Dhahebi 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), 14 (4). pp. 4690-4703. ISSN 2229-8649 (Print); 2180-1606 (Online) https://doi.org/10.15282/ijame.14.4.2017.8.0369 10.15282/ijame.14.4.2017.8.0369 |
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TJ Mechanical engineering and machinery |
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TJ Mechanical engineering and machinery Adel Mohammed, Al-Dhahebi 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 |
Adel Mohammed, Al-Dhahebi Ahmad Kadri, Junoh Zamri, Mohamed Wan Zuki Azman, Wan Muhamad |
author_facet |
Adel Mohammed, Al-Dhahebi Ahmad Kadri, Junoh Zamri, Mohamed Wan Zuki Azman, Wan Muhamad |
author_sort |
Adel Mohammed, Al-Dhahebi |
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/21816/ http://umpir.ump.edu.my/id/eprint/21816/ http://umpir.ump.edu.my/id/eprint/21816/ http://umpir.ump.edu.my/id/eprint/21816/1/A%20computational%20approach%20for%20optimizing%20vehicles%E2%80%99%20interior%20noise%20and%20vibration.pdf |
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2023-09-18T22:32:10Z |
last_indexed |
2023-09-18T22:32:10Z |
_version_ |
1777416358745604096 |