Generation of artificial road profile for automobile spring durability analysis

This paper presents the use of a generated artificial road profile in the simulation of a quarter car model for spring durability based-force extraction. In situ measurement of the road loading profile for automotive spring durability analysis, requires considerable cost and effort due to the comple...

Full description

Saved in:
Bibliographic Details
Main Authors: Kong, Yat Sheng, Shahrum Abdullah, Sallehuddin Mohamed Haris, Mohd Zaidi Omar, Schramm, Dieter
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:http://journalarticle.ukm.my/13787/1/1.pdf
http://journalarticle.ukm.my/13787/
http://www.ukm.my/jkukm/volume-302-2018/
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Kebangsaan Malaysia
Language: English
id my-ukm.journal.13787
record_format eprints
spelling my-ukm.journal.137872019-12-19T23:44:03Z http://journalarticle.ukm.my/13787/ Generation of artificial road profile for automobile spring durability analysis Kong, Yat Sheng Shahrum Abdullah, Sallehuddin Mohamed Haris, Mohd Zaidi Omar, Schramm, Dieter This paper presents the use of a generated artificial road profile in the simulation of a quarter car model for spring durability based-force extraction. In situ measurement of the road loading profile for automotive spring durability analysis, requires considerable cost and effort due to the complex experimental setup. Hence, an artificial road profile was generated for the quarter car model simulation to obtain the spring force signals. Initially, according to the ISO 8608 standard, a class “A” artificial road profile was generated using a designated waviness value, unevenness index and random phase angle. The generated road profile was used as the input to a constructed quarter car model to obtain the spring force signals. Subsequently, the generated nominal force signal was used to predict the fatigue life of the spring. Moreover, to obtain the localise fatigue behaviour of the spring, a finite element spring model together with the force signal was used for fatigue prediction. Under this class “A” road excitation, the spring possessed very high fatigue life of 1.87 × 106 blocks to failure. Further, a series of spring variant was analysed for fatigue life through this road class excitation. The relationship between spring stiffness and fatigue lives established using power regression and the coefficient of determination (R2) as high as 0.9815 was obtained. Therefore, this analysis will assist in automobile spring design regarding fatigue when road load data is not available. Penerbit Universiti Kebangsaan Malaysia 2018-10 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/13787/1/1.pdf Kong, Yat Sheng and Shahrum Abdullah, and Sallehuddin Mohamed Haris, and Mohd Zaidi Omar, and Schramm, Dieter (2018) Generation of artificial road profile for automobile spring durability analysis. Jurnal Kejuruteraan, 30 (2). pp. 123-128. ISSN 0128-0198 http://www.ukm.my/jkukm/volume-302-2018/
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description This paper presents the use of a generated artificial road profile in the simulation of a quarter car model for spring durability based-force extraction. In situ measurement of the road loading profile for automotive spring durability analysis, requires considerable cost and effort due to the complex experimental setup. Hence, an artificial road profile was generated for the quarter car model simulation to obtain the spring force signals. Initially, according to the ISO 8608 standard, a class “A” artificial road profile was generated using a designated waviness value, unevenness index and random phase angle. The generated road profile was used as the input to a constructed quarter car model to obtain the spring force signals. Subsequently, the generated nominal force signal was used to predict the fatigue life of the spring. Moreover, to obtain the localise fatigue behaviour of the spring, a finite element spring model together with the force signal was used for fatigue prediction. Under this class “A” road excitation, the spring possessed very high fatigue life of 1.87 × 106 blocks to failure. Further, a series of spring variant was analysed for fatigue life through this road class excitation. The relationship between spring stiffness and fatigue lives established using power regression and the coefficient of determination (R2) as high as 0.9815 was obtained. Therefore, this analysis will assist in automobile spring design regarding fatigue when road load data is not available.
format Article
author Kong, Yat Sheng
Shahrum Abdullah,
Sallehuddin Mohamed Haris,
Mohd Zaidi Omar,
Schramm, Dieter
spellingShingle Kong, Yat Sheng
Shahrum Abdullah,
Sallehuddin Mohamed Haris,
Mohd Zaidi Omar,
Schramm, Dieter
Generation of artificial road profile for automobile spring durability analysis
author_facet Kong, Yat Sheng
Shahrum Abdullah,
Sallehuddin Mohamed Haris,
Mohd Zaidi Omar,
Schramm, Dieter
author_sort Kong, Yat Sheng
title Generation of artificial road profile for automobile spring durability analysis
title_short Generation of artificial road profile for automobile spring durability analysis
title_full Generation of artificial road profile for automobile spring durability analysis
title_fullStr Generation of artificial road profile for automobile spring durability analysis
title_full_unstemmed Generation of artificial road profile for automobile spring durability analysis
title_sort generation of artificial road profile for automobile spring durability analysis
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2018
url http://journalarticle.ukm.my/13787/1/1.pdf
http://journalarticle.ukm.my/13787/
http://www.ukm.my/jkukm/volume-302-2018/
_version_ 1654961130297098240