Failure prediction for automotive suspension springs using Gaussian and Monte Carlo method
by F.R.M. Romlay, H. Ouyang, M.K. Nizam
International Journal of Vehicle Design (IJVD), Vol. 55, No. 1, 2011

Abstract: This research presents the modelling of fatigue crack propagation in order to predict the fatigue life of automotive suspension coil springs. Two types of coil spring are analysed, which have a single pigtail and a double pigtail, respectively. Stress analysis is conducted using the Finite Element Method (FEM) in order to identify the distribution of stress intensity factor, a parameter that depends on the component geometry, the crack size and location, and the load applied. The fracture toughness is set as the failure criterion for the crack to be generated. The crack is initialised and the propagation of the crack is randomly defined by the probabilistic approach of Gaussian-Monte Carlo method. The Gaussian-Monte Carlo results are further used for predicting the life cycle of the coil spring, and this is the major contribution of this research.

Online publication date: Fri, 10-Apr-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Vehicle Design (IJVD):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com