Optimization Design of Automobile Suspension Springs Based on BP

Xiao Hui Shi; Hong Li Gao; Ming Heng Xu

doi:10.4028/www.scientific.net/AMM.42.82

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 42Optimization Design of Automobile Suspension...

Optimization Design of Automobile Suspension Springs Based on BP

Abstract:

In order to optimize the arithmetic of the automobile suspension springs, the optimization algorithm of spring stress model based on BP neural networks was proposed. The various models of suspension spring were aggregated and analyzed, the parallel genetic algorithm for the suspension springs was proposed in this paper as well. And the spring models can be optimized fast and efficiently by the algorithm. Aiming at different models, the maximum stress point and the distribution law are given by means of experimental verifications. A new stress analysis method and a new estimate rule for the design of automotive suspension springs are provided by this method.

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Periodical:

Applied Mechanics and Materials (Volume 42)

Pages:

82-85

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.42.82

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Online since:

November 2010

Authors:

Xiao Hui Shi, Hong Li Gao, Ming Heng Xu

Keywords:

Automobile, Estimate Rule, Stress Arithmetic, Suspension Springs

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References

[1] School of Metallurgy and Materials Residual stresses at the surface of automotive suspension springs [J]. Journal of materials science 35(2000): 3313-3320.

Google Scholar

[2] Shaoming Wang, Experimental Mechanics of Materials Course (Civil, Mechanical type). Chengdu: Southwest Jiaotong University Press, (2008).

Google Scholar

[3] Qinghua Li. Material mechanics [M]. Chengdu: Southwest Jiaotong University Press, (1990).

Google Scholar

[4] H.L. Gao D.W. Li, M. H, Xu, et al. 2010 IEEE International Conference on Mechatronics and Automation (ICMA 2010), Xian, In press.

Google Scholar

[5] F.U. Xiao-yang, G. Chen, Evolving neural network based on improved genetic algorithm for pattern classification, Journal of Dalian Maritime University, vol. 35, no. 1, pp.85-88, (2009).

Google Scholar

[6] Kotaro Watanabe, KMasahi Tamura, Ken Yamaya. Development of a new-type suspension spring for rally cars[J]. Journal of materials processing Technology 111(2001): 132-134.

DOI: 10.1016/s0924-0136(01)00538-6

Google Scholar

[7] R.Z. Wang. Fatigue performance of residual stress and springs [J]. Physical Testing and chemical analysis: Physical testing, 2005, 11: 541-548.

Google Scholar

[8] X.H. Shi, L. Yu. To the general GP50-CAE technical analysis program (C). Ningxing Spring Enterprise Literature, (2010).

Google Scholar