Fatigue Design of Leaf Spring Using Artificial Neural Network

Abstract:

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The vehicle suspension system is directly influenced to ride and handling. Therefore, the major components of the vehicle suspension system should have enough fatigue strength during its lifetime to protect passenger from the traffic accident. Spring is one of the major suspension part of vehicle. Thus, in this paper, a fatigue design method for leaf spring was proposed. At first, numerical stress analysis for leaf spring assembly was performed. On the base of the analysis results, fatigue strength of leaf spring was assessed. And next, after studying numerically on geometrical parameters of leaf spring assembly, an economical prediction method of fatigue design criterion for leaf spring assembly using the theory of artificial neural network was developed and certified its usefulness. Without performing a lot of additional fatigue test for a long time, fatigue design criterion for a new leaf spring assembly having different geometry can be predicted on the base of the already obtained fatigue data.

Info:

Periodical:

Key Engineering Materials (Volumes 326-328)

Edited by:

Soon-Bok Lee and Yun-Jae Kim

Pages:

1083-1086

DOI:

10.4028/www.scientific.net/KEM.326-328.1083

Citation:

W. S. Jung et al., "Fatigue Design of Leaf Spring Using Artificial Neural Network", Key Engineering Materials, Vols. 326-328, pp. 1083-1086, 2006

Online since:

December 2006

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Price:

$35.00

[1] J. Reimpell and H. Stoll, The Automotive Chassis; Engineering Principle, SAE, USA, (1995).

[2] H. Heisler, Advanced Vehicle Technology, Edward Arnold, London (1989).

[3] M. M. Kamal and J. A. Wolf, Morden Automotive Structural Analysis, Van Nostrand Reinhold Company, USA (1982).

[4] W. H. Crouse and D. L. Anglin., Automotive Chassis and Body, Mc-Grow Hill, USA (1983).

[5] SAE, Fatigue Design Handbook, 3rd edition, AE-22, SAE, USA (1997).

[6] Nielson, R. H., Neuro Computing, (Addison-Wesley Publishing1989) Co., p.124~138.

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