Modelling approach of a cymene-Si-Oil damping shock absorber based on neural network algorithm

Yang Ping, Tan Jiqing, Liao Ningbo and Yang Jianbo

International Journal of Product Development, 2008, vol. 6, issue 1, 81-93

Abstract: A new kind of shock absorber with oil damping through coupling the cymene-Si-oil and spring is designed for reinforcement of electronic-information equipment. It is important to evaluate the damping force properties of the shock absorber. The objective of this paper is to apply a BP neural-network model to simulate non-linear characteristics occurring within the shock absorber. Comparisons between the experimental data and simulation confirm the validity of the model. So the research work submits a valid perspective for design and evaluation of the new cymene-Si-oil damping shock absorber.

Keywords: backprogagation networks; neural networks; cymene-Si-oil damping; shock absorbers; modelling; simulation; oil damping. (search for similar items in EconPapers)
Date: 2008
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpdev:v:6:y:2008:i:1:p:81-93

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