Modelling approach of a cymene-Si-Oil damping shock absorber based on neural network algorithm. (30th June 2008)

• Record Type: Journal Article
• Authors: Ping, Yang; Jiqing, Tan; Ningbo, Liao; Jianbo, Yang
• Is Part Of: International journal of product development. Volume 6:Number 1(2008)
• Page Start: 81
• Page End: 93
• Publication Date: 2008-06-30
• Subjects: backprogagation networks -- neural networks -- cymene-Si-oil damping -- shock absorbers -- modelling -- simulation -- oil damping; New products -- Periodicals; Technological innovations -- Periodicals; Research, Industrial -- Periodicals; 658.57505
• Languages: English
• ISSNs: 1477-9056

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.