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Trans Tech Publications, Applied Mechanics and Materials, (607), p. 321-324, 2014

DOI: 10.4028/www.scientific.net/amm.607.321

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Research about Dynamic Performance Prediction for Layout Structure of Globoidal Cam Machine

Journal article published in 2014 by Yi Yong Yao, Li Ping Zhao, Guang Zhou Diao, Hu Zhao, Pen Yan
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

Aiming to the layout structure design and performance prediction for globoidal cam machine, a dynamic performance prediction method for machine layout structure is proposed in this paper. With the method, the motion transmission and layout structure are determined based on the mapping rules between function and structure. The prediction model for dynamic performance is established based on BP neural network, which is used to optimize the dynamic performance of layout structure for globoibal cam machine.