The Reinforcement Rib Performance Prediction Based on the BP Algorithm and the Finite Element Analysis

Abstract:

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The reinforcement rib design is one of the key parts in entire bottle design. This paper presents the rib performance prediction system based on the BP algorithm and the finite element analysis, which adopts the finite element analysis results as its learning samples, sets up the rib performance prediction system with BP artificial neural network. The results show that the artificial neural network plays an important role in rib performance prediction; meanwhile it can guide the bottle design in practical terms.

Info:

Periodical:

Edited by:

Di Zheng, Yiqiang Wang, Yi-Min Deng, Aibing Yu and Weihua Li

Pages:

212-215

DOI:

10.4028/www.scientific.net/AMM.101-102.212

Citation:

L. Y. Su et al., "The Reinforcement Rib Performance Prediction Based on the BP Algorithm and the Finite Element Analysis", Applied Mechanics and Materials, Vols. 101-102, pp. 212-215, 2012

Online since:

September 2011

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Price:

$35.00

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