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

Author

Listed:
  • Yang Ping
  • Tan Jiqing
  • Liao Ningbo
  • Yang Jianbo

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.

Suggested Citation

  • Yang Ping & Tan Jiqing & Liao Ningbo & Yang Jianbo, 2008. "Modelling approach of a cymene-Si-Oil damping shock absorber based on neural network algorithm," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 6(1), pages 81-93.
    • Handle: RePEc:ids:ijpdev:v:6:y:2008:i:1:p:81-93
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